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209:: An experiment is designed to test the effects of a new pesticide on a specific patch of grass. The grass area contains a major elevation change and thus consists of two distinct regions â 'high elevation' and 'low elevation'. A treatment group (the new pesticide) and a placebo group are applied to both the high elevation and low elevation areas of grass. In this instance the researcher is blocking the elevation factor which may account for variability in the pesticide's application.
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235:. Both groups are then asked to use their shoes for a period of time, and then measure the degree of wear of the soles. This is a workable experimental design, but purely from the point of view of statistical accuracy (ignoring any other factors), a better design would be to give each person one regular sole and one new sole, randomly assigning the two types to the left and right shoe of each volunteer. Such a design is called a "randomized complete
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the different dosages. The blocked way to run this experiment, assuming you can convince manufacturing to let you put four experimental wafers in a furnace run, would be to put four wafers with different dosages in each of three furnace runs. The only randomization would be choosing which of the three wafers with dosage 1 would go into furnace run 1, and similarly for the wafers with dosages 2, 3 and 4.
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In the first example provided above, the sex of the patient would be a nuisance variable. For example, consider if the drug was a diet pill and the researchers wanted to test the effect of the diet pills on weight loss. The explanatory variable is the diet pill and the response variable is the amount
154:
are usually of the least importance (think of the fact that temperature of a reactor or the batch of raw materials is more important than the combination of the two â this is especially true when more (3, 4, ...) factors are present); thus it is preferable to confound this variability with the higher
108:
that are similar to one another in groups (blocks) based on one or more variables. These variables are chosen carefully to minimize the impact of their variability on the observed outcomes. There are different ways that blocking can be implemented, resulting in different confounding effects. However,
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A non-blocked way to run this experiment would be to run each of the twelve experimental wafers, in random order, one per furnace run. That would increase the experimental error of each resistivity measurement by the run-to-run furnace variability and make it more difficult to study the effects of
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An ideal way to run this experiment would be to run all the 4x3=12 wafers in the same furnace run. That would eliminate the nuisance furnace factor completely. However, regular production wafers have furnace priority, and only a few experimental wafers are allowed into any furnace run at the same
390:
Blocking is used to remove the effects of a few of the most important nuisance variables. Randomization is then used to reduce the contaminating effects of the remaining nuisance variables. For important nuisance variables, blocking will yield higher significance in the variables of interest than
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In our previous diet pills example, a blocking factor could be the sex of a patient. We could put individuals into one of two blocks (male or female). And within each of the two blocks, we can randomly assign the patients to either the diet pill (treatment) or placebo pill (control). By
272:
In the examples listed above, a nuisance variable is a variable that is not the primary focus of the study but can affect the outcomes of the experiment. They are considered potential sources of variability that, if not controlled or accounted for, may confound the interpretation between the
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You may choose to randomly assign experimental units to treatment conditions within each block which may help ensure that any unaccounted for variability is spread evenly across treatment groups. However, depending on how you assign treatments to blocks, you may obtain a different number of
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Suppose engineers at a semiconductor manufacturing facility want to test whether different wafer implant material dosages have a significant effect on resistivity measurements after a diffusion process taking place in a furnace. They have four different dosages they want to try and enough
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A nuisance factor is used as a blocking factor if every level of the primary factor occurs the same number of times with each level of the nuisance factor. The analysis of the experiment will focus on the effect of varying levels of the primary factor within each block of the experiment.
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When studying probability theory the blocks method consists of splitting a sample into blocks (groups) separated by smaller subblocks so that the blocks can be considered almost independent. The blocks method helps proving limit theorems in the case of dependent random variables.
456:, where a different effect gets confounded each time, the interaction effects are partially confounded instead of completely sacrificing one single effect. Replication enhances the reliability of results and allows for a more robust assessment of treatment effects.
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By using one of these methods to account for nuisance variables, researchers can enhance the internal validity of their experiments, ensuring that the effects observed are more likely attributable to the manipulated variables rather than extraneous influences.
137:
designs. Today, blocking still plays a pivotal role in experimental design, and in recent years, advancements in statistical software and computational capabilities have allowed researchers to explore more intricate blocking designs.
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To address nuisance variables, researchers can employ different methods such as blocking or randomization. Blocking involves grouping experimental units based on levels of the nuisance variable to control for its influence.
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the different methods share the same purpose: to control variability introduced by specific factors that could influence the outcome of an experiment. The roots of blocking originated from the statistician,
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of weight loss. Although the sex of the patient is not the main focus of the experimentâthe effect of the drug isâit is possible that the sex of the individual will affect the amount of weight lost.
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Blocking reduces unexplained variability. Its principle lies in the fact that variability which cannot be overcome (e.g. needing two batches of raw material to produce 1 container of a chemical) is
125:
The use of blocking in experimental design has an evolving history that spans multiple disciplines. The foundational concepts of blocking date back to the early 20th century with statisticians like
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133:(ANOVA) set the groundwork for grouping experimental units to control for extraneous variables. Blocking evolved over the years, leading to the formalization of randomized block designs and
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confounded effects. Therefore, the number of as well as which specific effects get confounded can be chosen which means that assigning treatments to blocks is superior over
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The nuisance factor they are concerned with is "furnace run" since it is known that each furnace run differs from the last and impacts many process parameters.
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215:: Suppose a process is invented that intends to make the soles of shoes last longer, and a plan is formed to conduct a field trial. Given a group of
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Bernstein S.N. (1926) Sur l'extension du thĂ©orĂšme limite du calcul des probabilitĂ©s aux sommes de quantitĂ©s dĂ©pendantes. Math. Annalen, v. 97, 1â59.
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There are consequences to partitioning a certain sized experiment into a certain number of blocks as the number of blocks determines the number of
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blocking on sex, this source of variability is controlled, therefore, leading to greater interpretation of how the diet pills affect weight loss.
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Carefully choose blocking factors based on their relevance to the study as well as their potential to confound the primary factors of interest.
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involves a series of steps to effectively control for extraneous variables and enhance the precision of treatment effect estimates.
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Ibragimov I.A. and Linnik Yu.V. (1971) Independent and stationary sequences of random variables. Wolters-Noordhoff, Groningen.
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An alternate way of summarizing the design trials would be to use a 4x3 matrix whose 4 rows are the levels of the treatment
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239:." This design will be more sensitive than the first, because each person is acting as his/her own control and thus the
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Addelman, S. (1970). "Variability of
Treatments and Experimental Units in the Design and Analysis of Experiments".
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or aliased with a(n) (higher/highest order) interaction to eliminate its influence on the end product. High order
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By extension, note that the trials for any K-factor randomized block design are simply the cell indices of a
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1969:
Novak S.Y. (2011) Extreme Value
Methods with Applications to Finance. Chapman & Hall/CRC Press, London.
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Identify potential factors that are not the primary focus of the study but could introduce variability.
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1960:(1983) Extremes and Related Properties of Random Sequences and Processes. New York: Springer Verlag.
1639:(GRBD) allow tests of blockâtreatment interaction, and has exactly one blocking factor like the RCBD.
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167:: An experiment is designed to test a new drug on patients. There are two levels of the treatment,
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1645:(and other rowâcolumn designs) have two blocking factors that are believed to have no interaction.
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2074:"Focus on Data: Statistical Design of Experiments and Sample Size Selection Using Power Analysis"
336:: The method was successfully applied in the theory of sums of dependent random variables and in
2641:"Some Consequences of randomization in a Generalization of the Balanced Incomplete Block Design"
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in groups (blocks) that are similar to one another. Typically, a blocking factor is a source of
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One useful way to look at a randomized block experiment is to consider it as a collection of
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Wilk, M. B. (1955). "The
Randomization Analysis of a Generalized Randomized Block Design".
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be the blocking factor furnace run. Then the experiment can be described as follows:
441:
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105:
2496:
Lentner, Marvin; Thomas Bishop (1993). "The
Generalized RCB Design (Chapter 6.13)".
1957:
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1992:
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helps distribute the effects of nuisance variables evenly across treatment groups.
264:
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experimental wafers from the same lot to run three wafers at each of the dosages.
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2374:
Gates, C.E. (Nov 1995). "What Really Is
Experimental Error in Block Designs?".
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2456:. Vol. I: Introduction to Experimental Design (Second ed.). Wiley.
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110:
296:
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203:. This reduces sources of variability and thus leads to greater precision.
188:
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2500:(Second ed.). Blacksburg, VA: Valley Book Company. pp. 225â226.
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experiments, each run within one of the blocks of the total experiment.
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1997:
1980:
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the assignment of the two kinds of soles. This type of experiment is a
1157:
The model for a randomized block design with one nuisance variable is
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5859:
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2479:. Vol. 2: Advanced Experimental Design (First ed.). Wiley.
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1981:"An approximation algorithm for blocking of an experimental design"
2470:
2447:
2424:
7721:
7422:
4922:
4623:
2540:
2526:(corrected reprint of the 1971 Wiley ed.). New York: Dover.
2522:
Constructions and
Combinatorial Problems in Design of Experiments
2410:(Corrected reprint of (1952) Wiley ed.). Robert E. Krieger.
268:
Nuisance variable (sex) effect on response variable (weight loss)
175:
1256:{\displaystyle Y_{ij}=\mu +T_{i}+B_{j}+\mathrm {random\ error} }
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3825:
3799:
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1863:
Berger, Paul D.; Maurer, Robert E.; Celli, Giovana B. (2018).
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and whose columns are the 3 levels of the blocking variable
5563:
2764:
169:
324:
No blocking (left) vs blocking (right) experimental design
27:
Design of experiments to collect similar contexts together
1567:{\displaystyle {\overline {Y}}_{\cdot j}-{\overline {Y}}}
1455:{\displaystyle {\overline {Y}}_{i\cdot }-{\overline {Y}}}
297:
Blocking used for nuisance factors that can be controlled
2546:
Block
Designs: Analysis, Combinatorics and Applications
2137:
1751:"R. A. Fisher and the Design of Experiments, 1922-1926"
2342:
2319:
2020:
Pashley, Nicole E.; Miratrix, Luke W. (July 7, 2021).
1046:. The cells in the matrix have indices that match the
414:
352:
Without blocking: diet pills vs placebo on weight loss
317:
that is not of primary interest to the experimenter.
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1530:
1468:
1418:
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Autoregressive conditional heteroskedasticity (ARCH)
4586:
Autoregressive conditional heteroskedasticity (ARCH)
2514:
2495:
2328:. Vol. I: Analysis. New York: Springer-Verlag.
1668:
195:
factor accounting for treatment variability between
2351:. Vol. II: Design. New York: Springer-Verlag.
2214:(1948). "The Validity of Comparative Experiments".
2153:(1969). "The Generalized Randomized Block Design".
2072:Ledolter, Johannes; Kardon, Randy H. (2020-07-09).
906:Before randomization, the design trials look like:
364:
With blocking: diet pills vs placebo on weight loss
6847:
4048:
2519:
2344:
2321:
1985:Journal of the Royal Statistical Society, Series B
1905:, New York, NY: Springer, 2008, pp. 447â448,
1603:
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1321:is the general location parameter (i.e., the mean)
1255:
761:
690:
642:
621:
600:
378:Block a few of the most important nuisance factors
2402:
1862:
1794:
1792:
368:
219:volunteers, one possible design would be to give
8061:
2289:: CS1 maint: bot: original URL status unknown (
2078:Investigative Ophthalmology & Visual Science
2026:Journal of Educational and Behavioral Statistics
806:
386:"Block what you can; randomize what you cannot."
6933:Multivariate adaptive regression splines (MARS)
4134:Multivariate adaptive regression splines (MARS)
2433:. Vol. I and II (Second ed.). Wiley.
2295:Pre-publication chapters are available on-line.
2184:Journal of the American Statistical Association
2022:"Block What You Can, Except When You Shouldn't"
2019:
1827:
1825:
1823:
1821:
1819:
1800:"5.3.3.3.3. Blocking of full factorial designs"
2138:National Institute of Standards and Technology
2071:
1789:
434:
406:
7814:
5488:
5015:
2689:
260:Nuisance variable effect on response variable
2581:
2298:
1816:
2067:
2065:
7821:
7807:
5533:
5495:
5481:
5022:
5008:
2734:
2696:
2682:
2272:. Archived from the original on 2011-03-06
747:= number of levels (settings) of factor 4
227:/2 of them shoes with the ordinary soles,
6146:
5029:
3347:
2656:
2105:
2037:
1996:
1604:{\displaystyle {\overline {Y}}_{\cdot j}}
1492:{\displaystyle {\overline {Y}}_{i\cdot }}
738:= number of levels (settings) of factor 3
729:= number of levels (settings) of factor 2
720:= number of levels (settings) of factor 1
80:Learn how and when to remove this message
7828:
2563:Shah, Kirti R.; Sinha, Bikas K. (1989).
2217:Journal of the Royal Statistical Society
2210:
2181:
2149:
2062:
1978:
1858:
1856:
1854:
1852:
1027:
779:= number of levels (settings) of factor
359:
347:
319:
263:
255:
223:/2 of them shoes with the new soles and
43:This article includes a list of general
2638:
2347:Block designs: A Randomization approach
2324:Block designs: A Randomization approach
452:By running a different design for each
14:
8062:
7459:KaplanâMeier estimator (product limit)
4660:KaplanâMeier estimator (product limit)
2408:The Design and Analysis of Experiments
2252:
1903:The Concise Encyclopedia of Statistics
7802:
7532:
7099:
6846:
6145:
5915:
5532:
5476:
5003:
4733:
4300:
4047:
3346:
3116:
2733:
2677:
2645:The Annals of Mathematical Statistics
2373:
1849:
1744:
1742:
1330:is the effect for being in treatment
422:
251:
7769:
7469:Accelerated failure time (AFT) model
4970:
4670:Accelerated failure time (AFT) model
2609:
2592:Combinatorics of Experimental Design
1637:Generalized randomized block designs
332:The blocks method was introduced by
29:
7781:
7064:Analysis of variance (ANOVA, anova)
5916:
5371:Generalized randomized block design
4982:
4265:Analysis of variance (ANOVA, anova)
3117:
1833:"5.3.3.2. Randomized block designs"
1748:
1722:Dependent and independent variables
1702:Generalized randomized block design
415:Select appropriate blocking factors
275:independent and dependent variables
191:trial. The sex of the patient is a
24:
7159:CochranâMantelâHaenszel statistics
5785:Pearson product-moment correlation
4360:CochranâMantelâHaenszel statistics
2986:Pearson product-moment correlation
2477:Design and Analysis of Experiments
2454:Design and Analysis of Experiments
2431:Design and Analysis of Experiments
1739:
1630:
1249:
1246:
1243:
1240:
1237:
1231:
1228:
1225:
1222:
1219:
1216:
49:it lacks sufficient corresponding
25:
8081:
5422:Sequential probability ratio test
2343:CaliĆski T.; Kageyama S. (2003).
2320:CaliĆski T.; Kageyama S. (2000).
2259:Design of Comparative Experiments
1956:Leadbetter M.R., Lindgren G. and
1659:Hyper-Graeco-Latin square designs
1350:is the effect for being in block
394:
7780:
7768:
7756:
7743:
7742:
7533:
5445:
5347:Polynomial and rational modeling
4981:
4969:
4957:
4944:
4943:
4734:
2498:Experimental design and analysis
2302:Linear Algebra and Linear Models
2132: This article incorporates
2127:
1671:
34:
7418:Least-squares spectral analysis
4619:Least-squares spectral analysis
2143:
2013:
1972:
1707:Glossary of experimental design
1395:{\displaystyle {\overline {Y}}}
477:Randomized block designs (RBD)
309:, blocking is the arranging of
243:is more closely matched to the
113:, following his development of
7972:CremonaâRichmond configuration
6399:Mean-unbiased minimum-variance
5502:
5114:Replication versus subsampling
3600:Mean-unbiased minimum-variance
2703:
2262:. Cambridge University Press.
1963:
1950:
1941:
1932:
1891:
832:= 2 factors (1 primary factor
447:
369:Definition of blocking factors
13:
1:
7712:Geographic information system
6928:Simultaneous equations models
4913:Geographic information system
4129:Simultaneous equations models
2305:(Second ed.). Springer.
1911:10.1007/978-0-387-32833-1_344
1732:
1402:= the average of all the data
1276:is any observation for which
807:Description of the experiment
8049:Kirkman's schoolgirl problem
7982:GrĂŒnbaumâRigby configuration
6895:Coefficient of determination
6506:Uniformly most powerful test
5341:Response surface methodology
5249:Analysis of variance (Anova)
4096:Coefficient of determination
3707:Uniformly most powerful test
1587:
1559:
1537:
1475:
1447:
1425:
1387:
1365:
786:
459:
233:completely randomized design
7:
7942:MöbiusâKantor configuration
7464:Proportional hazards models
7408:Spectral density estimation
7390:Vector autoregression (VAR)
6824:Maximum posterior estimator
6056:Randomized controlled trial
5411:Randomized controlled trial
4665:Proportional hazards models
4609:Spectral density estimation
4591:Vector autoregression (VAR)
4025:Maximum posterior estimator
3257:Randomized controlled trial
1664:
435:Assign treatments to blocks
407:Identify nuisance variables
158:
10:
8086:
8028:BruckâRyserâChowla theorem
7224:Multivariate distributions
5644:Average absolute deviation
4425:Multivariate distributions
2845:Average absolute deviation
343:
120:
8036:
8018:SzemerĂ©diâTrotter theorem
8000:
7922:
7857:
7836:
7738:
7692:
7629:
7582:
7545:
7541:
7528:
7500:
7482:
7449:
7440:
7398:
7345:
7306:
7255:
7246:
7212:Structural equation model
7167:
7124:
7120:
7095:
7054:
7020:
6974:
6941:
6903:
6870:
6866:
6842:
6782:
6691:
6610:
6574:
6565:
6548:Score/Lagrange multiplier
6533:
6486:
6431:
6357:
6348:
6158:
6154:
6141:
6100:
6074:
6026:
5981:
5963:Sample size determination
5928:
5924:
5911:
5815:
5770:
5744:
5726:
5682:
5634:
5554:
5545:
5541:
5528:
5510:
5430:
5299:
5194:
5127:
5037:
4939:
4893:
4830:
4783:
4746:
4742:
4729:
4701:
4683:
4650:
4641:
4599:
4546:
4507:
4456:
4447:
4413:Structural equation model
4368:
4325:
4321:
4296:
4255:
4221:
4175:
4142:
4104:
4071:
4067:
4043:
3983:
3892:
3811:
3775:
3766:
3749:Score/Lagrange multiplier
3734:
3687:
3632:
3558:
3549:
3359:
3355:
3342:
3301:
3275:
3227:
3182:
3164:Sample size determination
3129:
3125:
3112:
3016:
2971:
2945:
2927:
2883:
2835:
2755:
2746:
2742:
2729:
2711:
2565:Theory of Optimal Designs
2376:The American Statistician
2155:The American Statistician
2048:10.3102/10769986211027240
1979:Karmakar, Bikram (2022).
1899:"Randomized Block Design"
1875:10.1007/978-3-319-64583-4
1755:The American Statistician
1749:Box, Joan Fisher (1980).
399:Implementing blocking in
129:. His work in developing
8008:SylvesterâGallai theorem
7707:Environmental statistics
7229:Elliptical distributions
7022:Generalized linear model
6951:Simple linear regression
6721:HodgesâLehmann estimator
6178:Probability distribution
6087:Stochastic approximation
5649:Coefficient of variation
5397:Repeated measures design
5109:Restricted randomization
4908:Environmental statistics
4430:Elliptical distributions
4223:Generalized linear model
4152:Simple linear regression
3922:HodgesâLehmann estimator
3379:Probability distribution
3288:Stochastic approximation
2850:Coefficient of variation
2639:Zyskind, George (1963).
2544:; Padgett, L.V. (2005).
1649:Latin hypercube sampling
1152:
882:= 1 replication per cell
464:
8013:De BruijnâErdĆs theorem
7957:Desargues configuration
7367:Cross-correlation (XCF)
6975:Non-standard predictors
6409:LehmannâScheffĂ© theorem
6082:Adaptive clinical trial
4568:Cross-correlation (XCF)
4176:Non-standard predictors
3610:LehmannâScheffĂ© theorem
3283:Adaptive clinical trial
2658:10.1214/aoms/1177703889
762:{\displaystyle \vdots }
691:{\displaystyle \cdots }
643:{\displaystyle \vdots }
622:{\displaystyle \vdots }
601:{\displaystyle \vdots }
64:more precise citations.
18:Randomized block design
7763:Mathematics portal
7584:Engineering statistics
7492:NelsonâAalen estimator
7069:Analysis of covariance
6956:Ordinary least squares
6880:Pearson product-moment
6284:Statistical functional
6195:Empirical distribution
6028:Controlled experiments
5757:Frequency distribution
5535:Descriptive statistics
5452:Mathematics portal
5214:Ordinary least squares
4964:Mathematics portal
4785:Engineering statistics
4693:NelsonâAalen estimator
4270:Analysis of covariance
4157:Ordinary least squares
4081:Pearson product-moment
3485:Statistical functional
3396:Empirical distribution
3229:Controlled experiments
2958:Frequency distribution
2736:Descriptive statistics
2134:public domain material
1717:Paired difference test
1605:
1568:
1493:
1456:
1396:
1315:is the blocking factor
1257:
839:and 1 blocking factor
818:be dosage "level" and
763:
692:
644:
623:
602:
365:
353:
325:
269:
261:
141:
8070:Design of experiments
8044:Design of experiments
7679:Population statistics
7621:System identification
7355:Autocorrelation (ACF)
7283:Exponential smoothing
7197:Discriminant analysis
7192:Canonical correlation
7056:Partition of variance
6918:Regression validation
6762:(JonckheereâTerpstra)
6661:Likelihood-ratio test
6350:Frequentist inference
6262:Locationâscale family
6183:Sampling distribution
6148:Statistical inference
6115:Cross-sectional study
6102:Observational studies
6061:Randomized experiment
5890:Stem-and-leaf display
5692:Central limit theorem
5049:Scientific experiment
5031:Design of experiments
4880:Population statistics
4822:System identification
4556:Autocorrelation (ACF)
4484:Exponential smoothing
4398:Discriminant analysis
4393:Canonical correlation
4257:Partition of variance
4119:Regression validation
3963:(JonckheereâTerpstra)
3862:Likelihood-ratio test
3551:Frequentist inference
3463:Locationâscale family
3384:Sampling distribution
3349:Statistical inference
3316:Cross-sectional study
3303:Observational studies
3262:Randomized experiment
3091:Stem-and-leaf display
2893:Central limit theorem
2299:Bapat, R. B. (2000).
1606:
1569:
1494:
1457:
1397:
1306:is the primary factor
1258:
1028:Matrix representation
870:= 3 levels of factor
855:= 4 levels of factor
764:
693:
645:
624:
603:
471:completely randomized
382:The general rule is:
363:
351:
323:
307:design of experiments
267:
259:
98:design of experiments
7977:Kummer configuration
7947:Pappus configuration
7830:Incidence structures
7602:Probabilistic design
7187:Principal components
7030:Exponential families
6982:Nonlinear regression
6961:General linear model
6923:Mixed effects models
6913:Errors and residuals
6890:Confounding variable
6792:Bayesian probability
6770:Van der Waerden test
6760:Ordered alternative
6525:Multiple comparisons
6404:RaoâBlackwellization
6367:Estimating equations
6323:Statistical distance
6041:Factorial experiment
5574:Arithmetic-Geometric
5323:Fractional factorial
4803:Probabilistic design
4388:Principal components
4231:Exponential families
4183:Nonlinear regression
4162:General linear model
4124:Mixed effects models
4114:Errors and residuals
4091:Confounding variable
3993:Bayesian probability
3971:Van der Waerden test
3961:Ordered alternative
3726:Multiple comparisons
3605:RaoâBlackwellization
3568:Estimating equations
3524:Statistical distance
3242:Factorial experiment
2775:Arithmetic-Geometric
2583:Street, Anne Penfold
2548:. World Scientific.
2542:Raghavarao, Damaraju
2516:Raghavarao, Damaraju
2090:10.1167/iovs.61.8.11
1697:Combinatorial design
1687:Algebraic statistics
1654:Graeco-Latin squares
1578:
1528:
1466:
1416:
1379:
1164:
1149:dimensional matrix.
1060:combinations above.
753:
682:
634:
613:
592:
338:extreme value theory
131:analysis of variance
104:is the arranging of
7987:Klein configuration
7967:SchlÀfli double six
7952:Hesse configuration
7932:Complete quadrangle
7674:Official statistics
7597:Methods engineering
7278:Seasonal adjustment
7046:Poisson regressions
6966:Bayesian regression
6905:Regression analysis
6885:Partial correlation
6857:Regression analysis
6456:Prediction interval
6451:Likelihood interval
6441:Confidence interval
6433:Interval estimation
6394:Unbiased estimators
6212:Model specification
6092:Up-and-down designs
5780:Partial correlation
5736:Index of dispersion
5654:Interquartile range
5457:Statistical outline
5417:Sequential analysis
5382:Graeco-Latin square
5291:Multiple comparison
5238:Hierarchical model:
4875:Official statistics
4798:Methods engineering
4479:Seasonal adjustment
4247:Poisson regressions
4167:Bayesian regression
4106:Regression analysis
4086:Partial correlation
4058:Regression analysis
3657:Prediction interval
3652:Likelihood interval
3642:Confidence interval
3634:Interval estimation
3595:Unbiased estimators
3413:Model specification
3293:Up-and-down designs
2981:Partial correlation
2937:Index of dispersion
2855:Interquartile range
2567:. Springer-Verlag.
2471:Hinkelmann, Klaus;
2448:Hinkelmann, Klaus;
2425:Hinkelmann, Klaus;
1866:Experimental Design
478:
401:experimental design
7962:Reye configuration
7694:Spatial statistics
7574:Medical statistics
7474:First hitting time
7428:Whittle likelihood
7079:Degrees of freedom
7074:Multivariate ANOVA
7007:Heteroscedasticity
6819:Bayesian estimator
6784:Bayesian inference
6633:KolmogorovâSmirnov
6518:Randomization test
6488:Testing hypotheses
6461:Tolerance interval
6372:Maximum likelihood
6267:Exponential family
6200:Density estimation
6160:Statistical theory
6120:Natural experiment
6066:Scientific control
5983:Survey methodology
5669:Standard deviation
5462:Statistical topics
5054:Statistical design
4895:Spatial statistics
4775:Medical statistics
4675:First hitting time
4629:Whittle likelihood
4280:Degrees of freedom
4275:Multivariate ANOVA
4208:Heteroscedasticity
4020:Bayesian estimator
3985:Bayesian inference
3834:KolmogorovâSmirnov
3719:Randomization test
3689:Testing hypotheses
3662:Tolerance interval
3573:Maximum likelihood
3468:Exponential family
3401:Density estimation
3361:Statistical theory
3321:Natural experiment
3267:Scientific control
3184:Survey methodology
2870:Standard deviation
2587:Street, Deborah J.
2190:(331): 1095â1108.
1998:10.1111/rssb.12545
1679:Mathematics portal
1601:
1564:
1489:
1452:
1392:
1253:
759:
688:
640:
619:
598:
485:Number of factors
476:
423:Define block sizes
366:
354:
326:
311:experimental units
270:
262:
252:Nuisance variables
179:, administered to
106:experimental units
8057:
8056:
7796:
7795:
7734:
7733:
7730:
7729:
7669:National accounts
7639:Actuarial science
7631:Social statistics
7524:
7523:
7520:
7519:
7516:
7515:
7451:Survival function
7436:
7435:
7298:Granger causality
7139:Contingency table
7114:Survival analysis
7091:
7090:
7087:
7086:
6943:Linear regression
6838:
6837:
6834:
6833:
6809:Credible interval
6778:
6777:
6561:
6560:
6377:Method of moments
6246:Parametric family
6207:Statistical model
6137:
6136:
6133:
6132:
6051:Random assignment
5973:Statistical power
5907:
5906:
5903:
5902:
5752:Contingency table
5722:
5721:
5589:Generalized/power
5470:
5469:
5357:Central composite
5255:Cochran's theorem
5209:Linear regression
5186:Nuisance variable
5099:Random assignment
5076:Experimental unit
4997:
4996:
4935:
4934:
4931:
4930:
4870:National accounts
4840:Actuarial science
4832:Social statistics
4725:
4724:
4721:
4720:
4717:
4716:
4652:Survival function
4637:
4636:
4499:Granger causality
4340:Contingency table
4315:Survival analysis
4292:
4291:
4288:
4287:
4144:Linear regression
4039:
4038:
4035:
4034:
4010:Credible interval
3979:
3978:
3762:
3761:
3578:Method of moments
3447:Parametric family
3408:Statistical model
3338:
3337:
3334:
3333:
3252:Random assignment
3174:Statistical power
3108:
3107:
3104:
3103:
2953:Contingency table
2923:
2922:
2790:Generalized/power
2595:. Oxford U. P. .
2486:978-0-471-55177-5
2473:Kempthorne, Oscar
2463:978-0-471-72756-9
2450:Kempthorne, Oscar
2440:978-0-470-38551-7
2427:Kempthorne, Oscar
2404:Kempthorne, Oscar
2312:978-0-387-98871-9
2269:978-0-521-68357-9
1920:978-0-387-32833-1
1884:978-3-319-64582-7
1611:= average of all
1590:
1562:
1540:
1499:= average of all
1478:
1450:
1428:
1390:
1236:
1143:
1142:
1025:
1024:
902:= 4 * 3 = 12 runs
708:
707:
442:random assignment
90:
89:
82:
16:(Redirected from
8077:
7892:Projective plane
7844:Incidence matrix
7823:
7816:
7809:
7800:
7799:
7784:
7783:
7772:
7771:
7761:
7760:
7746:
7745:
7649:Crime statistics
7543:
7542:
7530:
7529:
7447:
7446:
7413:Fourier analysis
7400:Frequency domain
7380:
7327:
7293:Structural break
7253:
7252:
7202:Cluster analysis
7149:Log-linear model
7122:
7121:
7097:
7096:
7038:
7012:Homoscedasticity
6868:
6867:
6844:
6843:
6763:
6755:
6747:
6746:(KruskalâWallis)
6731:
6716:
6671:Cross validation
6656:
6638:AndersonâDarling
6585:
6572:
6571:
6543:Likelihood-ratio
6535:Parametric tests
6513:Permutation test
6496:1- & 2-tails
6387:Minimum distance
6359:Point estimation
6355:
6354:
6306:Optimal decision
6257:
6156:
6155:
6143:
6142:
6125:Quasi-experiment
6075:Adaptive designs
5926:
5925:
5913:
5912:
5790:Rank correlation
5552:
5551:
5543:
5542:
5530:
5529:
5497:
5490:
5483:
5474:
5473:
5450:
5449:
5387:Orthogonal array
5024:
5017:
5010:
5001:
5000:
4985:
4984:
4973:
4972:
4962:
4961:
4947:
4946:
4850:Crime statistics
4744:
4743:
4731:
4730:
4648:
4647:
4614:Fourier analysis
4601:Frequency domain
4581:
4528:
4494:Structural break
4454:
4453:
4403:Cluster analysis
4350:Log-linear model
4323:
4322:
4298:
4297:
4239:
4213:Homoscedasticity
4069:
4068:
4045:
4044:
3964:
3956:
3948:
3947:(KruskalâWallis)
3932:
3917:
3872:Cross validation
3857:
3839:AndersonâDarling
3786:
3773:
3772:
3744:Likelihood-ratio
3736:Parametric tests
3714:Permutation test
3697:1- & 2-tails
3588:Minimum distance
3560:Point estimation
3556:
3555:
3507:Optimal decision
3458:
3357:
3356:
3344:
3343:
3326:Quasi-experiment
3276:Adaptive designs
3127:
3126:
3114:
3113:
2991:Rank correlation
2753:
2752:
2744:
2743:
2731:
2730:
2698:
2691:
2684:
2675:
2674:
2670:
2660:
2651:(4): 1569â1581.
2635:
2606:
2578:
2559:
2537:
2525:
2511:
2490:
2467:
2444:
2421:
2399:
2370:
2350:
2339:
2327:
2316:
2294:
2288:
2280:
2278:
2277:
2249:
2207:
2178:
2131:
2130:
2120:
2119:
2109:
2069:
2060:
2059:
2041:
2017:
2011:
2010:
2000:
1991:(5): 1726â1750.
1976:
1970:
1967:
1961:
1954:
1948:
1945:
1939:
1936:
1930:
1929:
1928:
1927:
1895:
1889:
1888:
1860:
1847:
1846:
1844:
1843:
1837:www.itl.nist.gov
1829:
1814:
1813:
1811:
1810:
1804:www.itl.nist.gov
1796:
1787:
1786:
1746:
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1600:
1599:
1591:
1583:
1573:
1571:
1570:
1565:
1563:
1555:
1550:
1549:
1541:
1533:
1498:
1496:
1495:
1490:
1488:
1487:
1479:
1471:
1461:
1459:
1458:
1453:
1451:
1443:
1438:
1437:
1429:
1421:
1401:
1399:
1398:
1393:
1391:
1383:
1262:
1260:
1259:
1254:
1252:
1234:
1211:
1210:
1198:
1197:
1179:
1178:
1063:
1062:
909:
908:
768:
766:
765:
760:
697:
695:
694:
689:
649:
647:
646:
641:
628:
626:
625:
620:
607:
605:
604:
599:
479:
475:
127:Ronald A. Fisher
85:
78:
74:
71:
65:
60:this article by
51:inline citations
38:
37:
30:
21:
8085:
8084:
8080:
8079:
8078:
8076:
8075:
8074:
8060:
8059:
8058:
8053:
8032:
7996:
7918:
7853:
7849:Incidence graph
7832:
7827:
7797:
7792:
7755:
7726:
7688:
7625:
7611:quality control
7578:
7560:Clinical trials
7537:
7512:
7496:
7484:Hazard function
7478:
7432:
7394:
7378:
7341:
7337:BreuschâGodfrey
7325:
7302:
7242:
7217:Factor analysis
7163:
7144:Graphical model
7116:
7083:
7050:
7036:
7016:
6970:
6937:
6899:
6862:
6861:
6830:
6774:
6761:
6753:
6745:
6729:
6714:
6693:Rank statistics
6687:
6666:Model selection
6654:
6612:Goodness of fit
6606:
6583:
6557:
6529:
6482:
6427:
6416:Median unbiased
6344:
6255:
6188:Order statistic
6150:
6129:
6096:
6070:
6022:
5977:
5920:
5918:Data collection
5899:
5811:
5766:
5740:
5718:
5678:
5630:
5547:Continuous data
5537:
5524:
5506:
5501:
5471:
5466:
5444:
5426:
5403:Crossover study
5394:
5392:Latin hypercube
5328:PlackettâBurman
5307:
5304:
5303:
5295:
5198:
5190:
5131:
5123:
5040:
5033:
5028:
4998:
4993:
4956:
4927:
4889:
4826:
4812:quality control
4779:
4761:Clinical trials
4738:
4713:
4697:
4685:Hazard function
4679:
4633:
4595:
4579:
4542:
4538:BreuschâGodfrey
4526:
4503:
4443:
4418:Factor analysis
4364:
4345:Graphical model
4317:
4284:
4251:
4237:
4217:
4171:
4138:
4100:
4063:
4062:
4031:
3975:
3962:
3954:
3946:
3930:
3915:
3894:Rank statistics
3888:
3867:Model selection
3855:
3813:Goodness of fit
3807:
3784:
3758:
3730:
3683:
3628:
3617:Median unbiased
3545:
3456:
3389:Order statistic
3351:
3330:
3297:
3271:
3223:
3178:
3121:
3119:Data collection
3100:
3012:
2967:
2941:
2919:
2879:
2831:
2748:Continuous data
2738:
2725:
2707:
2702:
2624:10.2307/2333423
2603:
2575:
2556:
2534:
2508:
2487:
2464:
2441:
2418:
2388:10.2307/2684574
2359:
2336:
2313:
2282:
2281:
2275:
2273:
2270:
2230:10.2307/2984159
2220:. A (General).
2196:10.2307/2284277
2167:10.2307/2681737
2146:
2128:
2124:
2123:
2070:
2063:
2018:
2014:
1977:
1973:
1968:
1964:
1955:
1951:
1946:
1942:
1937:
1933:
1925:
1923:
1921:
1897:
1896:
1892:
1885:
1861:
1850:
1841:
1839:
1831:
1830:
1817:
1808:
1806:
1798:
1797:
1790:
1767:10.2307/2682986
1747:
1740:
1735:
1677:
1670:
1667:
1633:
1631:Generalizations
1621:
1592:
1582:
1581:
1579:
1576:
1575:
1554:
1542:
1532:
1531:
1529:
1526:
1525:
1523:
1509:
1480:
1470:
1469:
1467:
1464:
1463:
1442:
1430:
1420:
1419:
1417:
1414:
1413:
1411:
1382:
1380:
1377:
1376:
1368:
1360:
1349:
1340:
1329:
1314:
1305:
1293:
1282:
1275:
1215:
1206:
1202:
1193:
1189:
1171:
1167:
1165:
1162:
1161:
1155:
1059:
1052:
1045:
1038:
1030:
925:
917:
901:
894:
876:
869:
861:
854:
845:
838:
824:
817:
809:
789:
777:
754:
751:
750:
746:
737:
728:
719:
703:
683:
680:
679:
677:
670:
635:
632:
631:
614:
611:
610:
593:
590:
589:
584:
577:
570:
563:
547:
540:
533:
517:
510:
491:Number of runs
482:Name of design
467:
462:
450:
437:
425:
417:
409:
397:
380:
371:
346:
299:
254:
245:treatment group
165:Male and female
161:
144:
123:
86:
75:
69:
66:
56:Please help to
55:
39:
35:
28:
23:
22:
15:
12:
11:
5:
8083:
8073:
8072:
8055:
8054:
8052:
8051:
8046:
8040:
8038:
8034:
8033:
8031:
8030:
8025:
8023:Beck's theorem
8020:
8015:
8010:
8004:
8002:
7998:
7997:
7995:
7994:
7989:
7984:
7979:
7974:
7969:
7964:
7959:
7954:
7949:
7944:
7939:
7934:
7928:
7926:
7924:Configurations
7920:
7919:
7917:
7916:
7915:
7914:
7906:
7905:
7904:
7896:
7895:
7894:
7889:
7879:
7878:
7877:
7875:Steiner system
7872:
7861:
7859:
7855:
7854:
7852:
7851:
7846:
7840:
7838:
7837:Representation
7834:
7833:
7826:
7825:
7818:
7811:
7803:
7794:
7793:
7791:
7790:
7778:
7766:
7752:
7739:
7736:
7735:
7732:
7731:
7728:
7727:
7725:
7724:
7719:
7714:
7709:
7704:
7698:
7696:
7690:
7689:
7687:
7686:
7681:
7676:
7671:
7666:
7661:
7656:
7651:
7646:
7641:
7635:
7633:
7627:
7626:
7624:
7623:
7618:
7613:
7604:
7599:
7594:
7588:
7586:
7580:
7579:
7577:
7576:
7571:
7566:
7557:
7555:Bioinformatics
7551:
7549:
7539:
7538:
7526:
7525:
7522:
7521:
7518:
7517:
7514:
7513:
7511:
7510:
7504:
7502:
7498:
7497:
7495:
7494:
7488:
7486:
7480:
7479:
7477:
7476:
7471:
7466:
7461:
7455:
7453:
7444:
7438:
7437:
7434:
7433:
7431:
7430:
7425:
7420:
7415:
7410:
7404:
7402:
7396:
7395:
7393:
7392:
7387:
7382:
7374:
7369:
7364:
7363:
7362:
7360:partial (PACF)
7351:
7349:
7343:
7342:
7340:
7339:
7334:
7329:
7321:
7316:
7310:
7308:
7307:Specific tests
7304:
7303:
7301:
7300:
7295:
7290:
7285:
7280:
7275:
7270:
7265:
7259:
7257:
7250:
7244:
7243:
7241:
7240:
7239:
7238:
7237:
7236:
7221:
7220:
7219:
7209:
7207:Classification
7204:
7199:
7194:
7189:
7184:
7179:
7173:
7171:
7165:
7164:
7162:
7161:
7156:
7154:McNemar's test
7151:
7146:
7141:
7136:
7130:
7128:
7118:
7117:
7093:
7092:
7089:
7088:
7085:
7084:
7082:
7081:
7076:
7071:
7066:
7060:
7058:
7052:
7051:
7049:
7048:
7032:
7026:
7024:
7018:
7017:
7015:
7014:
7009:
7004:
6999:
6994:
6992:Semiparametric
6989:
6984:
6978:
6976:
6972:
6971:
6969:
6968:
6963:
6958:
6953:
6947:
6945:
6939:
6938:
6936:
6935:
6930:
6925:
6920:
6915:
6909:
6907:
6901:
6900:
6898:
6897:
6892:
6887:
6882:
6876:
6874:
6864:
6863:
6860:
6859:
6854:
6848:
6840:
6839:
6836:
6835:
6832:
6831:
6829:
6828:
6827:
6826:
6816:
6811:
6806:
6805:
6804:
6799:
6788:
6786:
6780:
6779:
6776:
6775:
6773:
6772:
6767:
6766:
6765:
6757:
6749:
6733:
6730:(MannâWhitney)
6725:
6724:
6723:
6710:
6709:
6708:
6697:
6695:
6689:
6688:
6686:
6685:
6684:
6683:
6678:
6673:
6663:
6658:
6655:(ShapiroâWilk)
6650:
6645:
6640:
6635:
6630:
6622:
6616:
6614:
6608:
6607:
6605:
6604:
6596:
6587:
6575:
6569:
6567:Specific tests
6563:
6562:
6559:
6558:
6556:
6555:
6550:
6545:
6539:
6537:
6531:
6530:
6528:
6527:
6522:
6521:
6520:
6510:
6509:
6508:
6498:
6492:
6490:
6484:
6483:
6481:
6480:
6479:
6478:
6473:
6463:
6458:
6453:
6448:
6443:
6437:
6435:
6429:
6428:
6426:
6425:
6420:
6419:
6418:
6413:
6412:
6411:
6406:
6391:
6390:
6389:
6384:
6379:
6374:
6363:
6361:
6352:
6346:
6345:
6343:
6342:
6337:
6332:
6331:
6330:
6320:
6315:
6314:
6313:
6303:
6302:
6301:
6296:
6291:
6281:
6276:
6271:
6270:
6269:
6264:
6259:
6243:
6242:
6241:
6236:
6231:
6221:
6220:
6219:
6214:
6204:
6203:
6202:
6192:
6191:
6190:
6180:
6175:
6170:
6164:
6162:
6152:
6151:
6139:
6138:
6135:
6134:
6131:
6130:
6128:
6127:
6122:
6117:
6112:
6106:
6104:
6098:
6097:
6095:
6094:
6089:
6084:
6078:
6076:
6072:
6071:
6069:
6068:
6063:
6058:
6053:
6048:
6043:
6038:
6032:
6030:
6024:
6023:
6021:
6020:
6018:Standard error
6015:
6010:
6005:
6004:
6003:
5998:
5987:
5985:
5979:
5978:
5976:
5975:
5970:
5965:
5960:
5955:
5950:
5948:Optimal design
5945:
5940:
5934:
5932:
5922:
5921:
5909:
5908:
5905:
5904:
5901:
5900:
5898:
5897:
5892:
5887:
5882:
5877:
5872:
5867:
5862:
5857:
5852:
5847:
5842:
5837:
5832:
5827:
5821:
5819:
5813:
5812:
5810:
5809:
5804:
5803:
5802:
5797:
5787:
5782:
5776:
5774:
5768:
5767:
5765:
5764:
5759:
5754:
5748:
5746:
5745:Summary tables
5742:
5741:
5739:
5738:
5732:
5730:
5724:
5723:
5720:
5719:
5717:
5716:
5715:
5714:
5709:
5704:
5694:
5688:
5686:
5680:
5679:
5677:
5676:
5671:
5666:
5661:
5656:
5651:
5646:
5640:
5638:
5632:
5631:
5629:
5628:
5623:
5618:
5617:
5616:
5611:
5606:
5601:
5596:
5591:
5586:
5581:
5579:Contraharmonic
5576:
5571:
5560:
5558:
5549:
5539:
5538:
5526:
5525:
5523:
5522:
5517:
5511:
5508:
5507:
5500:
5499:
5492:
5485:
5477:
5468:
5467:
5465:
5464:
5459:
5454:
5442:
5437:
5431:
5428:
5427:
5425:
5424:
5419:
5414:
5406:
5405:
5400:
5389:
5384:
5379:
5374:
5368:
5360:
5359:
5354:
5349:
5344:
5336:
5335:
5330:
5325:
5320:
5312:
5310:
5297:
5296:
5294:
5293:
5288:
5282:
5281:
5269:
5257:
5252:
5244:
5243:
5235:
5230:
5222:
5221:
5216:
5211:
5205:
5203:
5192:
5191:
5189:
5188:
5183:
5178:
5171:
5166:
5161:
5156:
5151:
5146:
5138:
5136:
5125:
5124:
5122:
5121:
5116:
5111:
5106:
5101:
5096:
5089:Optimal design
5084:
5083:
5078:
5073:
5061:
5056:
5051:
5045:
5043:
5035:
5034:
5027:
5026:
5019:
5012:
5004:
4995:
4994:
4992:
4991:
4979:
4967:
4953:
4940:
4937:
4936:
4933:
4932:
4929:
4928:
4926:
4925:
4920:
4915:
4910:
4905:
4899:
4897:
4891:
4890:
4888:
4887:
4882:
4877:
4872:
4867:
4862:
4857:
4852:
4847:
4842:
4836:
4834:
4828:
4827:
4825:
4824:
4819:
4814:
4805:
4800:
4795:
4789:
4787:
4781:
4780:
4778:
4777:
4772:
4767:
4758:
4756:Bioinformatics
4752:
4750:
4740:
4739:
4727:
4726:
4723:
4722:
4719:
4718:
4715:
4714:
4712:
4711:
4705:
4703:
4699:
4698:
4696:
4695:
4689:
4687:
4681:
4680:
4678:
4677:
4672:
4667:
4662:
4656:
4654:
4645:
4639:
4638:
4635:
4634:
4632:
4631:
4626:
4621:
4616:
4611:
4605:
4603:
4597:
4596:
4594:
4593:
4588:
4583:
4575:
4570:
4565:
4564:
4563:
4561:partial (PACF)
4552:
4550:
4544:
4543:
4541:
4540:
4535:
4530:
4522:
4517:
4511:
4509:
4508:Specific tests
4505:
4504:
4502:
4501:
4496:
4491:
4486:
4481:
4476:
4471:
4466:
4460:
4458:
4451:
4445:
4444:
4442:
4441:
4440:
4439:
4438:
4437:
4422:
4421:
4420:
4410:
4408:Classification
4405:
4400:
4395:
4390:
4385:
4380:
4374:
4372:
4366:
4365:
4363:
4362:
4357:
4355:McNemar's test
4352:
4347:
4342:
4337:
4331:
4329:
4319:
4318:
4294:
4293:
4290:
4289:
4286:
4285:
4283:
4282:
4277:
4272:
4267:
4261:
4259:
4253:
4252:
4250:
4249:
4233:
4227:
4225:
4219:
4218:
4216:
4215:
4210:
4205:
4200:
4195:
4193:Semiparametric
4190:
4185:
4179:
4177:
4173:
4172:
4170:
4169:
4164:
4159:
4154:
4148:
4146:
4140:
4139:
4137:
4136:
4131:
4126:
4121:
4116:
4110:
4108:
4102:
4101:
4099:
4098:
4093:
4088:
4083:
4077:
4075:
4065:
4064:
4061:
4060:
4055:
4049:
4041:
4040:
4037:
4036:
4033:
4032:
4030:
4029:
4028:
4027:
4017:
4012:
4007:
4006:
4005:
4000:
3989:
3987:
3981:
3980:
3977:
3976:
3974:
3973:
3968:
3967:
3966:
3958:
3950:
3934:
3931:(MannâWhitney)
3926:
3925:
3924:
3911:
3910:
3909:
3898:
3896:
3890:
3889:
3887:
3886:
3885:
3884:
3879:
3874:
3864:
3859:
3856:(ShapiroâWilk)
3851:
3846:
3841:
3836:
3831:
3823:
3817:
3815:
3809:
3808:
3806:
3805:
3797:
3788:
3776:
3770:
3768:Specific tests
3764:
3763:
3760:
3759:
3757:
3756:
3751:
3746:
3740:
3738:
3732:
3731:
3729:
3728:
3723:
3722:
3721:
3711:
3710:
3709:
3699:
3693:
3691:
3685:
3684:
3682:
3681:
3680:
3679:
3674:
3664:
3659:
3654:
3649:
3644:
3638:
3636:
3630:
3629:
3627:
3626:
3621:
3620:
3619:
3614:
3613:
3612:
3607:
3592:
3591:
3590:
3585:
3580:
3575:
3564:
3562:
3553:
3547:
3546:
3544:
3543:
3538:
3533:
3532:
3531:
3521:
3516:
3515:
3514:
3504:
3503:
3502:
3497:
3492:
3482:
3477:
3472:
3471:
3470:
3465:
3460:
3444:
3443:
3442:
3437:
3432:
3422:
3421:
3420:
3415:
3405:
3404:
3403:
3393:
3392:
3391:
3381:
3376:
3371:
3365:
3363:
3353:
3352:
3340:
3339:
3336:
3335:
3332:
3331:
3329:
3328:
3323:
3318:
3313:
3307:
3305:
3299:
3298:
3296:
3295:
3290:
3285:
3279:
3277:
3273:
3272:
3270:
3269:
3264:
3259:
3254:
3249:
3244:
3239:
3233:
3231:
3225:
3224:
3222:
3221:
3219:Standard error
3216:
3211:
3206:
3205:
3204:
3199:
3188:
3186:
3180:
3179:
3177:
3176:
3171:
3166:
3161:
3156:
3151:
3149:Optimal design
3146:
3141:
3135:
3133:
3123:
3122:
3110:
3109:
3106:
3105:
3102:
3101:
3099:
3098:
3093:
3088:
3083:
3078:
3073:
3068:
3063:
3058:
3053:
3048:
3043:
3038:
3033:
3028:
3022:
3020:
3014:
3013:
3011:
3010:
3005:
3004:
3003:
2998:
2988:
2983:
2977:
2975:
2969:
2968:
2966:
2965:
2960:
2955:
2949:
2947:
2946:Summary tables
2943:
2942:
2940:
2939:
2933:
2931:
2925:
2924:
2921:
2920:
2918:
2917:
2916:
2915:
2910:
2905:
2895:
2889:
2887:
2881:
2880:
2878:
2877:
2872:
2867:
2862:
2857:
2852:
2847:
2841:
2839:
2833:
2832:
2830:
2829:
2824:
2819:
2818:
2817:
2812:
2807:
2802:
2797:
2792:
2787:
2782:
2780:Contraharmonic
2777:
2772:
2761:
2759:
2750:
2740:
2739:
2727:
2726:
2724:
2723:
2718:
2712:
2709:
2708:
2701:
2700:
2693:
2686:
2678:
2672:
2671:
2636:
2618:(1â2): 70â79.
2607:
2601:
2579:
2573:
2560:
2554:
2538:
2532:
2512:
2506:
2493:
2492:
2491:
2485:
2468:
2462:
2439:
2422:
2416:
2400:
2382:(4): 362â363.
2371:
2357:
2340:
2334:
2317:
2311:
2296:
2268:
2250:
2224:(3): 181â211.
2212:Anscombe, F.J.
2208:
2179:
2145:
2142:
2141:
2140:
2122:
2121:
2061:
2012:
1971:
1962:
1949:
1940:
1931:
1919:
1890:
1883:
1848:
1815:
1788:
1737:
1736:
1734:
1731:
1730:
1729:
1724:
1719:
1714:
1712:Optimal design
1709:
1704:
1699:
1694:
1689:
1683:
1682:
1666:
1663:
1662:
1661:
1656:
1651:
1646:
1640:
1632:
1629:
1628:
1627:
1619:
1598:
1595:
1589:
1586:
1561:
1558:
1553:
1548:
1545:
1539:
1536:
1521:
1515:
1507:
1486:
1483:
1477:
1474:
1449:
1446:
1441:
1436:
1433:
1427:
1424:
1409:
1403:
1389:
1386:
1367:
1364:
1363:
1362:
1358:
1347:
1342:
1338:
1327:
1322:
1316:
1312:
1307:
1303:
1298:
1291:
1280:
1273:
1264:
1263:
1251:
1248:
1245:
1242:
1239:
1233:
1230:
1227:
1224:
1221:
1218:
1214:
1209:
1205:
1201:
1196:
1192:
1188:
1185:
1182:
1177:
1174:
1170:
1154:
1151:
1141:
1140:
1137:
1134:
1131:
1127:
1126:
1123:
1120:
1117:
1113:
1112:
1109:
1106:
1103:
1099:
1098:
1095:
1092:
1089:
1085:
1084:
1079:
1074:
1069:
1057:
1050:
1043:
1036:
1029:
1026:
1023:
1022:
1019:
1015:
1014:
1011:
1007:
1006:
1003:
999:
998:
995:
991:
990:
987:
983:
982:
979:
975:
974:
971:
967:
966:
963:
959:
958:
955:
951:
950:
947:
943:
942:
939:
935:
934:
931:
927:
926:
923:
918:
915:
904:
903:
899:
892:
883:
877:
874:
867:
862:
859:
852:
847:
843:
836:
822:
815:
808:
805:
788:
785:
784:
783:
775:
771:
770:
769:
758:
744:
739:
735:
730:
726:
721:
717:
706:
705:
701:
687:
675:
668:
663:
658:
651:
650:
639:
629:
618:
608:
597:
586:
585:
582:
575:
568:
561:
556:
553:
549:
548:
545:
538:
531:
526:
523:
519:
518:
515:
508:
503:
500:
496:
495:
489:
483:
466:
463:
461:
458:
449:
446:
436:
433:
424:
421:
416:
413:
408:
405:
396:
395:Implementation
393:
388:
387:
379:
376:
370:
367:
345:
342:
305:theory of the
298:
295:
253:
250:
249:
248:
210:
204:
187:patients in a
160:
157:
143:
140:
122:
119:
96:theory of the
88:
87:
42:
40:
33:
26:
9:
6:
4:
3:
2:
8082:
8071:
8068:
8067:
8065:
8050:
8047:
8045:
8042:
8041:
8039:
8035:
8029:
8026:
8024:
8021:
8019:
8016:
8014:
8011:
8009:
8006:
8005:
8003:
7999:
7993:
7990:
7988:
7985:
7983:
7980:
7978:
7975:
7973:
7970:
7968:
7965:
7963:
7960:
7958:
7955:
7953:
7950:
7948:
7945:
7943:
7940:
7938:
7935:
7933:
7930:
7929:
7927:
7925:
7921:
7913:
7910:
7909:
7907:
7903:
7900:
7899:
7898:Graph theory
7897:
7893:
7890:
7888:
7885:
7884:
7883:
7880:
7876:
7873:
7871:
7868:
7867:
7866:
7865:Combinatorics
7863:
7862:
7860:
7856:
7850:
7847:
7845:
7842:
7841:
7839:
7835:
7831:
7824:
7819:
7817:
7812:
7810:
7805:
7804:
7801:
7789:
7788:
7779:
7777:
7776:
7767:
7765:
7764:
7759:
7753:
7751:
7750:
7741:
7740:
7737:
7723:
7720:
7718:
7717:Geostatistics
7715:
7713:
7710:
7708:
7705:
7703:
7700:
7699:
7697:
7695:
7691:
7685:
7684:Psychometrics
7682:
7680:
7677:
7675:
7672:
7670:
7667:
7665:
7662:
7660:
7657:
7655:
7652:
7650:
7647:
7645:
7642:
7640:
7637:
7636:
7634:
7632:
7628:
7622:
7619:
7617:
7614:
7612:
7608:
7605:
7603:
7600:
7598:
7595:
7593:
7590:
7589:
7587:
7585:
7581:
7575:
7572:
7570:
7567:
7565:
7561:
7558:
7556:
7553:
7552:
7550:
7548:
7547:Biostatistics
7544:
7540:
7536:
7531:
7527:
7509:
7508:Log-rank test
7506:
7505:
7503:
7499:
7493:
7490:
7489:
7487:
7485:
7481:
7475:
7472:
7470:
7467:
7465:
7462:
7460:
7457:
7456:
7454:
7452:
7448:
7445:
7443:
7439:
7429:
7426:
7424:
7421:
7419:
7416:
7414:
7411:
7409:
7406:
7405:
7403:
7401:
7397:
7391:
7388:
7386:
7383:
7381:
7379:(BoxâJenkins)
7375:
7373:
7370:
7368:
7365:
7361:
7358:
7357:
7356:
7353:
7352:
7350:
7348:
7344:
7338:
7335:
7333:
7332:DurbinâWatson
7330:
7328:
7322:
7320:
7317:
7315:
7314:DickeyâFuller
7312:
7311:
7309:
7305:
7299:
7296:
7294:
7291:
7289:
7288:Cointegration
7286:
7284:
7281:
7279:
7276:
7274:
7271:
7269:
7266:
7264:
7263:Decomposition
7261:
7260:
7258:
7254:
7251:
7249:
7245:
7235:
7232:
7231:
7230:
7227:
7226:
7225:
7222:
7218:
7215:
7214:
7213:
7210:
7208:
7205:
7203:
7200:
7198:
7195:
7193:
7190:
7188:
7185:
7183:
7180:
7178:
7175:
7174:
7172:
7170:
7166:
7160:
7157:
7155:
7152:
7150:
7147:
7145:
7142:
7140:
7137:
7135:
7134:Cohen's kappa
7132:
7131:
7129:
7127:
7123:
7119:
7115:
7111:
7107:
7103:
7098:
7094:
7080:
7077:
7075:
7072:
7070:
7067:
7065:
7062:
7061:
7059:
7057:
7053:
7047:
7043:
7039:
7033:
7031:
7028:
7027:
7025:
7023:
7019:
7013:
7010:
7008:
7005:
7003:
7000:
6998:
6995:
6993:
6990:
6988:
6987:Nonparametric
6985:
6983:
6980:
6979:
6977:
6973:
6967:
6964:
6962:
6959:
6957:
6954:
6952:
6949:
6948:
6946:
6944:
6940:
6934:
6931:
6929:
6926:
6924:
6921:
6919:
6916:
6914:
6911:
6910:
6908:
6906:
6902:
6896:
6893:
6891:
6888:
6886:
6883:
6881:
6878:
6877:
6875:
6873:
6869:
6865:
6858:
6855:
6853:
6850:
6849:
6845:
6841:
6825:
6822:
6821:
6820:
6817:
6815:
6812:
6810:
6807:
6803:
6800:
6798:
6795:
6794:
6793:
6790:
6789:
6787:
6785:
6781:
6771:
6768:
6764:
6758:
6756:
6750:
6748:
6742:
6741:
6740:
6737:
6736:Nonparametric
6734:
6732:
6726:
6722:
6719:
6718:
6717:
6711:
6707:
6706:Sample median
6704:
6703:
6702:
6699:
6698:
6696:
6694:
6690:
6682:
6679:
6677:
6674:
6672:
6669:
6668:
6667:
6664:
6662:
6659:
6657:
6651:
6649:
6646:
6644:
6641:
6639:
6636:
6634:
6631:
6629:
6627:
6623:
6621:
6618:
6617:
6615:
6613:
6609:
6603:
6601:
6597:
6595:
6593:
6588:
6586:
6581:
6577:
6576:
6573:
6570:
6568:
6564:
6554:
6551:
6549:
6546:
6544:
6541:
6540:
6538:
6536:
6532:
6526:
6523:
6519:
6516:
6515:
6514:
6511:
6507:
6504:
6503:
6502:
6499:
6497:
6494:
6493:
6491:
6489:
6485:
6477:
6474:
6472:
6469:
6468:
6467:
6464:
6462:
6459:
6457:
6454:
6452:
6449:
6447:
6444:
6442:
6439:
6438:
6436:
6434:
6430:
6424:
6421:
6417:
6414:
6410:
6407:
6405:
6402:
6401:
6400:
6397:
6396:
6395:
6392:
6388:
6385:
6383:
6380:
6378:
6375:
6373:
6370:
6369:
6368:
6365:
6364:
6362:
6360:
6356:
6353:
6351:
6347:
6341:
6338:
6336:
6333:
6329:
6326:
6325:
6324:
6321:
6319:
6316:
6312:
6311:loss function
6309:
6308:
6307:
6304:
6300:
6297:
6295:
6292:
6290:
6287:
6286:
6285:
6282:
6280:
6277:
6275:
6272:
6268:
6265:
6263:
6260:
6258:
6252:
6249:
6248:
6247:
6244:
6240:
6237:
6235:
6232:
6230:
6227:
6226:
6225:
6222:
6218:
6215:
6213:
6210:
6209:
6208:
6205:
6201:
6198:
6197:
6196:
6193:
6189:
6186:
6185:
6184:
6181:
6179:
6176:
6174:
6171:
6169:
6166:
6165:
6163:
6161:
6157:
6153:
6149:
6144:
6140:
6126:
6123:
6121:
6118:
6116:
6113:
6111:
6108:
6107:
6105:
6103:
6099:
6093:
6090:
6088:
6085:
6083:
6080:
6079:
6077:
6073:
6067:
6064:
6062:
6059:
6057:
6054:
6052:
6049:
6047:
6044:
6042:
6039:
6037:
6034:
6033:
6031:
6029:
6025:
6019:
6016:
6014:
6013:Questionnaire
6011:
6009:
6006:
6002:
5999:
5997:
5994:
5993:
5992:
5989:
5988:
5986:
5984:
5980:
5974:
5971:
5969:
5966:
5964:
5961:
5959:
5956:
5954:
5951:
5949:
5946:
5944:
5941:
5939:
5936:
5935:
5933:
5931:
5927:
5923:
5919:
5914:
5910:
5896:
5893:
5891:
5888:
5886:
5883:
5881:
5878:
5876:
5873:
5871:
5868:
5866:
5863:
5861:
5858:
5856:
5853:
5851:
5848:
5846:
5843:
5841:
5840:Control chart
5838:
5836:
5833:
5831:
5828:
5826:
5823:
5822:
5820:
5818:
5814:
5808:
5805:
5801:
5798:
5796:
5793:
5792:
5791:
5788:
5786:
5783:
5781:
5778:
5777:
5775:
5773:
5769:
5763:
5760:
5758:
5755:
5753:
5750:
5749:
5747:
5743:
5737:
5734:
5733:
5731:
5729:
5725:
5713:
5710:
5708:
5705:
5703:
5700:
5699:
5698:
5695:
5693:
5690:
5689:
5687:
5685:
5681:
5675:
5672:
5670:
5667:
5665:
5662:
5660:
5657:
5655:
5652:
5650:
5647:
5645:
5642:
5641:
5639:
5637:
5633:
5627:
5624:
5622:
5619:
5615:
5612:
5610:
5607:
5605:
5602:
5600:
5597:
5595:
5592:
5590:
5587:
5585:
5582:
5580:
5577:
5575:
5572:
5570:
5567:
5566:
5565:
5562:
5561:
5559:
5557:
5553:
5550:
5548:
5544:
5540:
5536:
5531:
5527:
5521:
5518:
5516:
5513:
5512:
5509:
5505:
5498:
5493:
5491:
5486:
5484:
5479:
5478:
5475:
5463:
5460:
5458:
5455:
5453:
5448:
5443:
5441:
5438:
5436:
5433:
5432:
5429:
5423:
5420:
5418:
5415:
5413:
5412:
5408:
5407:
5404:
5401:
5399:
5398:
5393:
5390:
5388:
5385:
5383:
5380:
5378:
5375:
5372:
5369:
5367:
5366:
5362:
5361:
5358:
5355:
5353:
5350:
5348:
5345:
5343:
5342:
5338:
5337:
5334:
5331:
5329:
5326:
5324:
5321:
5319:
5318:
5314:
5313:
5311:
5309:
5302:
5298:
5292:
5289:
5287:
5286:Compare means
5284:
5283:
5280:
5278:
5274:
5270:
5268:
5266:
5262:
5258:
5256:
5253:
5251:
5250:
5246:
5245:
5242:
5239:
5236:
5234:
5231:
5229:
5228:
5227:Random effect
5224:
5223:
5220:
5217:
5215:
5212:
5210:
5207:
5206:
5204:
5202:
5197:
5193:
5187:
5184:
5182:
5179:
5177:
5176:
5172:
5170:
5169:Orthogonality
5167:
5165:
5162:
5160:
5157:
5155:
5152:
5150:
5147:
5145:
5144:
5140:
5139:
5137:
5135:
5130:
5126:
5120:
5117:
5115:
5112:
5110:
5107:
5105:
5104:Randomization
5102:
5100:
5097:
5095:
5091:
5090:
5086:
5085:
5082:
5079:
5077:
5074:
5072:
5069:
5065:
5062:
5060:
5057:
5055:
5052:
5050:
5047:
5046:
5044:
5042:
5036:
5032:
5025:
5020:
5018:
5013:
5011:
5006:
5005:
5002:
4990:
4989:
4980:
4978:
4977:
4968:
4966:
4965:
4960:
4954:
4952:
4951:
4942:
4941:
4938:
4924:
4921:
4919:
4918:Geostatistics
4916:
4914:
4911:
4909:
4906:
4904:
4901:
4900:
4898:
4896:
4892:
4886:
4885:Psychometrics
4883:
4881:
4878:
4876:
4873:
4871:
4868:
4866:
4863:
4861:
4858:
4856:
4853:
4851:
4848:
4846:
4843:
4841:
4838:
4837:
4835:
4833:
4829:
4823:
4820:
4818:
4815:
4813:
4809:
4806:
4804:
4801:
4799:
4796:
4794:
4791:
4790:
4788:
4786:
4782:
4776:
4773:
4771:
4768:
4766:
4762:
4759:
4757:
4754:
4753:
4751:
4749:
4748:Biostatistics
4745:
4741:
4737:
4732:
4728:
4710:
4709:Log-rank test
4707:
4706:
4704:
4700:
4694:
4691:
4690:
4688:
4686:
4682:
4676:
4673:
4671:
4668:
4666:
4663:
4661:
4658:
4657:
4655:
4653:
4649:
4646:
4644:
4640:
4630:
4627:
4625:
4622:
4620:
4617:
4615:
4612:
4610:
4607:
4606:
4604:
4602:
4598:
4592:
4589:
4587:
4584:
4582:
4580:(BoxâJenkins)
4576:
4574:
4571:
4569:
4566:
4562:
4559:
4558:
4557:
4554:
4553:
4551:
4549:
4545:
4539:
4536:
4534:
4533:DurbinâWatson
4531:
4529:
4523:
4521:
4518:
4516:
4515:DickeyâFuller
4513:
4512:
4510:
4506:
4500:
4497:
4495:
4492:
4490:
4489:Cointegration
4487:
4485:
4482:
4480:
4477:
4475:
4472:
4470:
4467:
4465:
4464:Decomposition
4462:
4461:
4459:
4455:
4452:
4450:
4446:
4436:
4433:
4432:
4431:
4428:
4427:
4426:
4423:
4419:
4416:
4415:
4414:
4411:
4409:
4406:
4404:
4401:
4399:
4396:
4394:
4391:
4389:
4386:
4384:
4381:
4379:
4376:
4375:
4373:
4371:
4367:
4361:
4358:
4356:
4353:
4351:
4348:
4346:
4343:
4341:
4338:
4336:
4335:Cohen's kappa
4333:
4332:
4330:
4328:
4324:
4320:
4316:
4312:
4308:
4304:
4299:
4295:
4281:
4278:
4276:
4273:
4271:
4268:
4266:
4263:
4262:
4260:
4258:
4254:
4248:
4244:
4240:
4234:
4232:
4229:
4228:
4226:
4224:
4220:
4214:
4211:
4209:
4206:
4204:
4201:
4199:
4196:
4194:
4191:
4189:
4188:Nonparametric
4186:
4184:
4181:
4180:
4178:
4174:
4168:
4165:
4163:
4160:
4158:
4155:
4153:
4150:
4149:
4147:
4145:
4141:
4135:
4132:
4130:
4127:
4125:
4122:
4120:
4117:
4115:
4112:
4111:
4109:
4107:
4103:
4097:
4094:
4092:
4089:
4087:
4084:
4082:
4079:
4078:
4076:
4074:
4070:
4066:
4059:
4056:
4054:
4051:
4050:
4046:
4042:
4026:
4023:
4022:
4021:
4018:
4016:
4013:
4011:
4008:
4004:
4001:
3999:
3996:
3995:
3994:
3991:
3990:
3988:
3986:
3982:
3972:
3969:
3965:
3959:
3957:
3951:
3949:
3943:
3942:
3941:
3938:
3937:Nonparametric
3935:
3933:
3927:
3923:
3920:
3919:
3918:
3912:
3908:
3907:Sample median
3905:
3904:
3903:
3900:
3899:
3897:
3895:
3891:
3883:
3880:
3878:
3875:
3873:
3870:
3869:
3868:
3865:
3863:
3860:
3858:
3852:
3850:
3847:
3845:
3842:
3840:
3837:
3835:
3832:
3830:
3828:
3824:
3822:
3819:
3818:
3816:
3814:
3810:
3804:
3802:
3798:
3796:
3794:
3789:
3787:
3782:
3778:
3777:
3774:
3771:
3769:
3765:
3755:
3752:
3750:
3747:
3745:
3742:
3741:
3739:
3737:
3733:
3727:
3724:
3720:
3717:
3716:
3715:
3712:
3708:
3705:
3704:
3703:
3700:
3698:
3695:
3694:
3692:
3690:
3686:
3678:
3675:
3673:
3670:
3669:
3668:
3665:
3663:
3660:
3658:
3655:
3653:
3650:
3648:
3645:
3643:
3640:
3639:
3637:
3635:
3631:
3625:
3622:
3618:
3615:
3611:
3608:
3606:
3603:
3602:
3601:
3598:
3597:
3596:
3593:
3589:
3586:
3584:
3581:
3579:
3576:
3574:
3571:
3570:
3569:
3566:
3565:
3563:
3561:
3557:
3554:
3552:
3548:
3542:
3539:
3537:
3534:
3530:
3527:
3526:
3525:
3522:
3520:
3517:
3513:
3512:loss function
3510:
3509:
3508:
3505:
3501:
3498:
3496:
3493:
3491:
3488:
3487:
3486:
3483:
3481:
3478:
3476:
3473:
3469:
3466:
3464:
3461:
3459:
3453:
3450:
3449:
3448:
3445:
3441:
3438:
3436:
3433:
3431:
3428:
3427:
3426:
3423:
3419:
3416:
3414:
3411:
3410:
3409:
3406:
3402:
3399:
3398:
3397:
3394:
3390:
3387:
3386:
3385:
3382:
3380:
3377:
3375:
3372:
3370:
3367:
3366:
3364:
3362:
3358:
3354:
3350:
3345:
3341:
3327:
3324:
3322:
3319:
3317:
3314:
3312:
3309:
3308:
3306:
3304:
3300:
3294:
3291:
3289:
3286:
3284:
3281:
3280:
3278:
3274:
3268:
3265:
3263:
3260:
3258:
3255:
3253:
3250:
3248:
3245:
3243:
3240:
3238:
3235:
3234:
3232:
3230:
3226:
3220:
3217:
3215:
3214:Questionnaire
3212:
3210:
3207:
3203:
3200:
3198:
3195:
3194:
3193:
3190:
3189:
3187:
3185:
3181:
3175:
3172:
3170:
3167:
3165:
3162:
3160:
3157:
3155:
3152:
3150:
3147:
3145:
3142:
3140:
3137:
3136:
3134:
3132:
3128:
3124:
3120:
3115:
3111:
3097:
3094:
3092:
3089:
3087:
3084:
3082:
3079:
3077:
3074:
3072:
3069:
3067:
3064:
3062:
3059:
3057:
3054:
3052:
3049:
3047:
3044:
3042:
3041:Control chart
3039:
3037:
3034:
3032:
3029:
3027:
3024:
3023:
3021:
3019:
3015:
3009:
3006:
3002:
2999:
2997:
2994:
2993:
2992:
2989:
2987:
2984:
2982:
2979:
2978:
2976:
2974:
2970:
2964:
2961:
2959:
2956:
2954:
2951:
2950:
2948:
2944:
2938:
2935:
2934:
2932:
2930:
2926:
2914:
2911:
2909:
2906:
2904:
2901:
2900:
2899:
2896:
2894:
2891:
2890:
2888:
2886:
2882:
2876:
2873:
2871:
2868:
2866:
2863:
2861:
2858:
2856:
2853:
2851:
2848:
2846:
2843:
2842:
2840:
2838:
2834:
2828:
2825:
2823:
2820:
2816:
2813:
2811:
2808:
2806:
2803:
2801:
2798:
2796:
2793:
2791:
2788:
2786:
2783:
2781:
2778:
2776:
2773:
2771:
2768:
2767:
2766:
2763:
2762:
2760:
2758:
2754:
2751:
2749:
2745:
2741:
2737:
2732:
2728:
2722:
2719:
2717:
2714:
2713:
2710:
2706:
2699:
2694:
2692:
2687:
2685:
2680:
2679:
2676:
2668:
2664:
2659:
2654:
2650:
2646:
2642:
2637:
2633:
2629:
2625:
2621:
2617:
2613:
2608:
2604:
2602:0-19-853256-3
2598:
2594:
2593:
2588:
2584:
2580:
2576:
2574:0-387-96991-8
2570:
2566:
2561:
2557:
2555:981-256-360-1
2551:
2547:
2543:
2539:
2535:
2533:0-486-65685-3
2529:
2524:
2523:
2517:
2513:
2509:
2507:0-9616255-2-X
2503:
2499:
2494:
2488:
2482:
2478:
2474:
2469:
2465:
2459:
2455:
2451:
2446:
2445:
2442:
2436:
2432:
2428:
2423:
2419:
2417:0-88275-105-0
2413:
2409:
2405:
2401:
2397:
2393:
2389:
2385:
2381:
2377:
2372:
2368:
2364:
2360:
2358:0-387-95470-8
2354:
2349:
2348:
2341:
2337:
2335:0-387-98578-6
2331:
2326:
2325:
2318:
2314:
2308:
2304:
2303:
2297:
2292:
2286:
2271:
2265:
2261:
2260:
2255:
2251:
2247:
2243:
2239:
2235:
2231:
2227:
2223:
2219:
2218:
2213:
2209:
2205:
2201:
2197:
2193:
2189:
2185:
2180:
2176:
2172:
2168:
2164:
2160:
2156:
2152:
2148:
2147:
2139:
2136:from the
2135:
2126:
2125:
2117:
2113:
2108:
2103:
2099:
2095:
2091:
2087:
2083:
2079:
2075:
2068:
2066:
2057:
2053:
2049:
2045:
2040:
2035:
2032:(1): 69â100.
2031:
2027:
2023:
2016:
2008:
2004:
1999:
1994:
1990:
1986:
1982:
1975:
1966:
1959:
1953:
1944:
1935:
1922:
1916:
1912:
1908:
1904:
1900:
1894:
1886:
1880:
1876:
1872:
1868:
1867:
1859:
1857:
1855:
1853:
1838:
1834:
1828:
1826:
1824:
1822:
1820:
1805:
1801:
1795:
1793:
1784:
1780:
1776:
1772:
1768:
1764:
1760:
1756:
1752:
1745:
1743:
1738:
1728:
1727:Blockmodeling
1725:
1723:
1720:
1718:
1715:
1713:
1710:
1708:
1705:
1703:
1700:
1698:
1695:
1693:
1690:
1688:
1685:
1684:
1680:
1674:
1669:
1660:
1657:
1655:
1652:
1650:
1647:
1644:
1643:Latin squares
1641:
1638:
1635:
1634:
1625:
1618:
1614:
1596:
1593:
1584:
1556:
1551:
1546:
1543:
1534:
1520:
1517:Estimate for
1516:
1513:
1506:
1502:
1484:
1481:
1472:
1444:
1439:
1434:
1431:
1422:
1408:
1405:Estimate for
1404:
1384:
1374:
1371:Estimate for
1370:
1369:
1357:
1353:
1346:
1343:
1337:
1333:
1326:
1323:
1320:
1317:
1311:
1308:
1302:
1299:
1297:
1290:
1286:
1279:
1272:
1269:
1268:
1267:
1212:
1207:
1203:
1199:
1194:
1190:
1186:
1183:
1180:
1175:
1172:
1168:
1160:
1159:
1158:
1150:
1148:
1138:
1135:
1132:
1129:
1128:
1124:
1121:
1118:
1115:
1114:
1110:
1107:
1104:
1101:
1100:
1096:
1093:
1090:
1087:
1086:
1083:
1080:
1078:
1075:
1073:
1070:
1068:
1065:
1064:
1061:
1056:
1049:
1042:
1035:
1020:
1017:
1016:
1012:
1009:
1008:
1004:
1001:
1000:
996:
993:
992:
988:
985:
984:
980:
977:
976:
972:
969:
968:
964:
961:
960:
956:
953:
952:
948:
945:
944:
940:
937:
936:
932:
929:
928:
922:
919:
914:
911:
910:
907:
898:
891:
887:
884:
881:
878:
873:
866:
863:
858:
851:
848:
842:
835:
831:
828:
827:
826:
821:
814:
804:
800:
796:
793:
782:
778:
772:
756:
749:
748:
743:
740:
734:
731:
725:
722:
716:
713:
712:
711:
704:
685:
674:
667:
664:
662:
659:
656:
653:
652:
637:
630:
616:
609:
595:
588:
587:
581:
574:
567:
560:
557:
554:
552:4-factor RBD
551:
550:
544:
537:
530:
527:
524:
522:3-factor RBD
521:
520:
514:
507:
504:
501:
499:2-factor RBD
498:
497:
494:
490:
488:
484:
481:
480:
474:
472:
457:
455:
445:
443:
432:
430:
420:
412:
404:
402:
392:
391:randomizing.
385:
384:
383:
375:
362:
358:
350:
341:
339:
335:
330:
322:
318:
316:
312:
308:
304:
294:
290:
286:
284:
283:Randomization
278:
276:
266:
258:
246:
242:
241:control group
238:
234:
230:
226:
222:
218:
214:
211:
208:
205:
202:
198:
194:
190:
186:
182:
178:
177:
172:
171:
166:
163:
162:
156:
155:interaction.
153:
149:
139:
136:
132:
128:
118:
116:
112:
111:Ronald Fisher
107:
103:
99:
95:
84:
81:
73:
63:
59:
53:
52:
46:
41:
32:
31:
19:
8037:Applications
7911:
7870:Block design
7785:
7773:
7754:
7747:
7659:Econometrics
7609: /
7592:Chemometrics
7569:Epidemiology
7562: /
7535:Applications
7377:ARIMA model
7324:Q-statistic
7273:Stationarity
7169:Multivariate
7112: /
7108: /
7106:Multivariate
7104: /
7044: /
7040: /
6814:Bayes factor
6713:Signed rank
6625:
6599:
6591:
6579:
6274:Completeness
6110:Cohort study
6035:
6008:Opinion poll
5943:Missing data
5930:Study design
5885:Scatter plot
5807:Scatter plot
5800:Spearman's Ï
5762:Grouped data
5409:
5395:
5377:Latin square
5363:
5339:
5315:
5276:
5272:
5265:multivariate
5264:
5260:
5247:
5225:
5174:
5173:
5141:
5133:
5087:
4986:
4974:
4955:
4948:
4860:Econometrics
4810: /
4793:Chemometrics
4770:Epidemiology
4763: /
4736:Applications
4578:ARIMA model
4525:Q-statistic
4474:Stationarity
4370:Multivariate
4313: /
4309: /
4307:Multivariate
4305: /
4245: /
4241: /
4015:Bayes factor
3914:Signed rank
3826:
3800:
3792:
3780:
3475:Completeness
3311:Cohort study
3236:
3209:Opinion poll
3144:Missing data
3131:Study design
3086:Scatter plot
3008:Scatter plot
3001:Spearman's Ï
2963:Grouped data
2648:
2644:
2615:
2611:
2591:
2564:
2545:
2521:
2497:
2476:
2453:
2430:
2407:
2379:
2375:
2346:
2323:
2301:
2274:. Retrieved
2258:
2254:Bailey, R. A
2221:
2215:
2187:
2183:
2161:(4): 35â36.
2158:
2154:
2151:Addelman, S.
2144:Bibliography
2081:
2077:
2029:
2025:
2015:
1988:
1984:
1974:
1965:
1952:
1943:
1934:
1924:, retrieved
1902:
1893:
1865:
1840:. Retrieved
1836:
1807:. Retrieved
1803:
1758:
1754:
1692:Block design
1623:
1616:
1612:
1518:
1511:
1504:
1500:
1406:
1372:
1355:
1351:
1344:
1335:
1331:
1324:
1318:
1309:
1300:
1295:
1288:
1284:
1277:
1270:
1265:
1156:
1146:
1144:
1081:
1076:
1071:
1066:
1054:
1047:
1040:
1033:
1031:
920:
912:
905:
896:
889:
885:
879:
871:
864:
856:
849:
840:
833:
829:
819:
812:
810:
801:
797:
794:
790:
780:
773:
741:
732:
723:
714:
709:
699:
672:
665:
660:
657:-factor RBD
654:
579:
572:
565:
558:
542:
535:
528:
512:
505:
492:
486:
468:
451:
438:
426:
418:
410:
398:
389:
381:
372:
355:
334:S. Bernstein
331:
327:
300:
291:
287:
279:
271:
247:block design
237:block design
224:
220:
216:
213:Intervention
212:
206:
200:
196:
192:
189:double blind
184:
180:
174:
168:
164:
152:interactions
145:
135:Latin square
124:
101:
91:
76:
70:January 2018
67:
48:
7908:Statistics
7787:WikiProject
7702:Cartography
7664:Jurimetrics
7616:Reliability
7347:Time domain
7326:(LjungâBox)
7248:Time-series
7126:Categorical
7110:Time-series
7102:Categorical
7037:(Bernoulli)
6872:Correlation
6852:Correlation
6648:JarqueâBera
6620:Chi-squared
6382:M-estimator
6335:Asymptotics
6279:Sufficiency
6046:Interaction
5958:Replication
5938:Effect size
5895:Violin plot
5875:Radar chart
5855:Forest plot
5845:Correlogram
5795:Kendall's Ï
5352:BoxâBehnken
5233:Mixed model
5164:Confounding
5159:Interaction
5149:Effect size
5119:Sample size
4988:WikiProject
4903:Cartography
4865:Jurimetrics
4817:Reliability
4548:Time domain
4527:(LjungâBox)
4449:Time-series
4327:Categorical
4311:Time-series
4303:Categorical
4238:(Bernoulli)
4073:Correlation
4053:Correlation
3849:JarqueâBera
3821:Chi-squared
3583:M-estimator
3536:Asymptotics
3480:Sufficiency
3247:Interaction
3159:Replication
3139:Effect size
3096:Violin plot
3076:Radar chart
3056:Forest plot
3046:Correlogram
2996:Kendall's Ï
1354:(of factor
1334:(of factor
448:Replication
315:variability
303:statistical
229:randomizing
94:statistical
62:introducing
7937:Fano plane
7902:Hypergraph
7654:Demography
7372:ARMA model
7177:Regression
6754:(Friedman)
6715:(Wilcoxon)
6653:Normality
6643:Lilliefors
6590:Student's
6466:Resampling
6340:Robustness
6328:divergence
6318:Efficiency
6256:(monotone)
6251:Likelihood
6168:Population
6001:Stratified
5953:Population
5772:Dependence
5728:Count data
5659:Percentile
5636:Dispersion
5569:Arithmetic
5504:Statistics
5308:randomized
5306:Completely
5277:covariance
5039:Scientific
4855:Demography
4573:ARMA model
4378:Regression
3955:(Friedman)
3916:(Wilcoxon)
3854:Normality
3844:Lilliefors
3791:Student's
3667:Resampling
3541:Robustness
3529:divergence
3519:Efficiency
3457:(monotone)
3452:Likelihood
3369:Population
3202:Stratified
3154:Population
2973:Dependence
2929:Count data
2860:Percentile
2837:Dispersion
2770:Arithmetic
2705:Statistics
2612:Biometrika
2276:2010-02-22
2039:2010.14078
1958:Rootzén H.
1926:2023-12-11
1842:2023-12-11
1809:2023-12-11
1761:(1): 1â7.
1733:References
1615:for which
1503:for which
429:confounded
148:confounded
45:references
7887:Incidence
7035:Logistic
6802:posterior
6728:Rank sum
6476:Jackknife
6471:Bootstrap
6289:Bootstrap
6224:Parameter
6173:Statistic
5968:Statistic
5880:Run chart
5865:Pie chart
5860:Histogram
5850:Fan chart
5825:Bar chart
5707:L-moments
5594:Geometric
5317:Factorial
5201:inference
5181:Covariate
5143:Treatment
5129:Treatment
4236:Logistic
4003:posterior
3929:Rank sum
3677:Jackknife
3672:Bootstrap
3490:Bootstrap
3425:Parameter
3374:Statistic
3169:Statistic
3081:Run chart
3066:Pie chart
3061:Histogram
3051:Fan chart
3026:Bar chart
2908:L-moments
2795:Geometric
2285:cite book
2098:0146-0404
2084:(8): 11.
2056:1076-9986
1775:0003-1305
1594:⋅
1588:¯
1560:¯
1552:−
1544:⋅
1538:¯
1485:⋅
1476:¯
1448:¯
1440:−
1435:⋅
1426:¯
1388:¯
1366:Estimates
1184:μ
1067:Treatment
757:⋮
686:⋯
638:⋮
617:⋮
596:⋮
454:replicate
431:effects.
207:Elevation
8064:Category
8001:Theorems
7912:Blocking
7882:Geometry
7749:Category
7442:Survival
7319:Johansen
7042:Binomial
6997:Isotonic
6584:(normal)
6229:location
6036:Blocking
5991:Sampling
5870:QâQ plot
5835:Box plot
5817:Graphics
5712:Skewness
5702:Kurtosis
5674:Variance
5604:Heronian
5599:Harmonic
5440:Category
5435:Glossary
5241:Bayesian
5219:Bayesian
5175:Blocking
5154:Contrast
5134:blocking
5094:Bayesian
5081:Blinding
5071:validity
5068:external
5064:Internal
4950:Category
4643:Survival
4520:Johansen
4243:Binomial
4198:Isotonic
3785:(normal)
3430:location
3237:Blocking
3192:Sampling
3071:QâQ plot
3036:Box plot
3018:Graphics
2913:Skewness
2903:Kurtosis
2875:Variance
2805:Heronian
2800:Harmonic
2589:(1987).
2518:(1988).
2475:(2005).
2452:(2008).
2429:(2008).
2406:(1979).
2256:(2008).
2116:32645134
1665:See also
1524: :
1412: :
1375: :
193:blocking
159:Examples
102:blocking
92:In the
7775:Commons
7722:Kriging
7607:Process
7564:studies
7423:Wavelet
7256:General
6423:Plug-in
6217:L space
5996:Cluster
5697:Moments
5515:Outline
5333:Taguchi
5301:Designs
5059:Control
4976:Commons
4923:Kriging
4808:Process
4765:studies
4624:Wavelet
4457:General
3624:Plug-in
3418:L space
3197:Cluster
2898:Moments
2716:Outline
2667:2238364
2632:2333423
2396:2684574
2367:1994124
2246:0030181
2238:2984159
2204:2284277
2175:2681737
2107:7425741
2007:4515556
1783:2682986
1082:Block 3
1077:Block 2
1072:Block 1
787:Example
460:Example
344:Example
301:In the
201:females
176:placebo
121:History
58:improve
7858:Fields
7644:Census
7234:Normal
7182:Manova
7002:Robust
6752:2-way
6744:1-way
6582:-test
6253:
5830:Biplot
5621:Median
5614:Lehmer
5556:Center
5373:(GRBD)
5273:Ancova
5261:Manova
5196:Models
5041:method
4845:Census
4435:Normal
4383:Manova
4203:Robust
3953:2-way
3945:1-way
3783:-test
3454:
3031:Biplot
2822:Median
2815:Lehmer
2757:Center
2665:
2630:
2599:
2571:
2552:
2530:
2504:
2483:
2460:
2437:
2414:
2394:
2365:
2355:
2332:
2309:
2266:
2244:
2236:
2202:
2173:
2114:
2104:
2096:
2054:
2005:
1917:
1881:
1781:
1773:
1373:μ
1319:μ
1266:where
1235:
799:time.
185:female
173:, and
47:, but
7268:Trend
6797:prior
6739:anova
6628:-test
6602:-test
6594:-test
6501:Power
6446:Pivot
6239:shape
6234:scale
5684:Shape
5664:Range
5609:Heinz
5584:Cubic
5520:Index
5365:Block
4469:Trend
3998:prior
3940:anova
3829:-test
3803:-test
3795:-test
3702:Power
3647:Pivot
3440:shape
3435:scale
2885:Shape
2865:Range
2810:Heinz
2785:Cubic
2721:Index
2663:JSTOR
2628:JSTOR
2392:JSTOR
2234:JSTOR
2200:JSTOR
2171:JSTOR
2034:arXiv
1779:JSTOR
1574:with
1462:with
1153:Model
710:with
465:Table
197:males
115:ANOVA
7992:Dual
7501:Test
6701:Sign
6553:Wald
5626:Mode
5564:Mean
5199:and
5132:and
5066:and
4702:Test
3902:Sign
3754:Wald
2827:Mode
2765:Mean
2597:ISBN
2569:ISBN
2550:ISBN
2528:ISBN
2502:ISBN
2481:ISBN
2458:ISBN
2435:ISBN
2412:ISBN
2353:ISBN
2330:ISBN
2307:ISBN
2291:link
2264:ISBN
2112:PMID
2094:ISSN
2052:ISSN
1915:ISBN
1879:ISBN
1771:ISSN
1287:and
811:Let
199:and
183:and
181:male
170:drug
6681:BIC
6676:AIC
3882:BIC
3877:AIC
2653:doi
2620:doi
2384:doi
2226:doi
2222:111
2192:doi
2163:doi
2102:PMC
2086:doi
2044:doi
1993:doi
1907:doi
1871:doi
1763:doi
142:Use
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2028:.
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2003:MR
2001:.
1989:84
1987:.
1983:.
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1835:.
1818:^
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