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770:"}},"text\/plain":{"en":{"P275":"Creative Commons Attribution-ShareAlike 3.0 Unported"}}},"{\"value\":{\"entity-type\":\"item\",\"numeric-id\":50829104,\"id\":\"Q50829104\"},\"type\":\"wikibase-entityid\"}":{"text\/html":{"en":{"P275":"
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766:"}},"text\/plain":{"en":{"":"copyright license"}}},"{\"value\":{\"entity-type\":\"item\",\"numeric-id\":14946043,\"id\":\"Q14946043\"},\"type\":\"wikibase-entityid\"}":{"text\/html":{"en":{"P275":"
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La bildo estas kopiita de wikipedia:en. La originala priskribo estas: '''Image of random data plus trend, with best-fit line and different smoothings''' {{GFDL}} The data is 1000 points, with a trend of 1-in-100, with random normal noise of SD 10
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Ignoring autocorrelation, a confidence limit for the slope of the fit line is for the raw data (which include 0.01, as it should). For the 10-pt-filtered the limits are slightly narrower at and for the 100pt-filtering the limits are again slightly narrower.
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The data is 1000 points (plotted in black), with an increasing trend of 1-in-100, with random normal noise of standard deviation 10 superimposed. The red-line is the same data but averaged every 10 points. The blue line is averaged every 100 points.
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506:– You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
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774:"}},"text\/plain":{"en":{"P275":"GNU Free Documentation License, version 1.2 or later"}}}}": -->
415:; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled
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The time series are, of course, very closely related: the same except for the filtering. This shows that a low r value should
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For the three series, the least squares fit line is virtually the same, with a slope of 0.01, as expected.
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for the raw data, the simple trend line explains almost none of the variance of the time series (only 8%).
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512:– If you remix, transform, or build upon the material, you must distribute your contributions under the
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Permission is granted to copy, distribute and/or modify this document under the terms of the
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The r fit for the raw data is 0.08; for the 10-pt-filtered, 0.57; for 100-pt-filtered, 0.97.
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672:(Image of random data plus trend, with best-fit line and different smoothings)
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nonetheless, the trend lines are almost identical as are the confidence levels.
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for the 100-pt filtering, the trend line explains almost all of the data (97%).
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Learning patterns/Evaluation of data affected by seasonal or calendar effects
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Image of random data plus trend, with best-fit line and different smoothings
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Click on a date/time to view the file as it appeared at that time.
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This licensing tag was added to this file as part of the GFDL
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User:William M. Connolley/My Images/Computer-generated images
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Add a one-line explanation of what this file represents
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Creative
Commons Attribution-ShareAlike 3.0 Unported
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Creative
Commons Attribution-ShareAlike 3.0 Unported
411:, Version 1.2 or any later version published by the
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Commons is a freely licensed media file repository.
569:. All following user names refer to en.wikipedia.
633:(I bumped up the SD to make the point obvious.)
51:(601 × 447 pixels, file size: 9 KB, MIME type:
533:http://creativecommons.org/licenses/by-sa/3.0/
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137:be interpreted as evidence of lack of trend.
539:Creative Commons Attribution-Share Alike 3.0
14:
489:– to copy, distribute and transmit the work
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922:The following other wikis use this file:
897:The following 3 pages use this file:
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468:Attribution-Share Alike 3.0 Unported
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423:http://www.gnu.org/copyleft/fdl.html
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565:The original description page was
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500:Under the following conditions:
463:This file is licensed under the
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956:Usage on cbk-zam.wikipedia.org
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41:No higher resolution available.
1216:Usage on zh-yue.wikipedia.org
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429:GNU Free Documentation License
418:GNU Free Documentation License
408:GNU Free Documentation License
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47:Random-data-plus-trend-r2.png
1056:Usage on meta.wikimedia.org
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704:Items portrayed in this file
668:en:User:William M. Connolley
655:en:User:William M. Connolley
642:en:User:William M. Connolley
629:en:User:William M. Connolley
616:en:User:William M. Connolley
119:So what does that all mean?
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1070:Анализа на временските низи
659:(...partial before reload)
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1206:Usage on vi.wikipedia.org
1196:Usage on ur.wikipedia.org
1181:Usage on uk.wikipedia.org
1171:Usage on tr.wikipedia.org
1161:Usage on tl.wikipedia.org
1151:Usage on sv.wikipedia.org
1141:Usage on su.wikipedia.org
1131:Usage on sq.wikipedia.org
1116:Usage on ru.wikipedia.org
1106:Usage on pl.wikipedia.org
1096:Usage on nn.wikipedia.org
1086:Usage on nl.wikipedia.org
1076:Usage on ml.wikipedia.org
1066:Usage on mk.wikipedia.org
1046:Usage on lt.wikipedia.org
1036:Usage on ko.wikipedia.org
1026:Usage on jv.wikipedia.org
1011:Usage on ja.wikipedia.org
996:Usage on id.wikipedia.org
986:Usage on ga.wikipedia.org
976:Usage on el.wikipedia.org
966:Usage on de.wikipedia.org
946:Usage on ca.wikipedia.org
936:Usage on bg.wikipedia.org
926:Usage on ar.wikipedia.org
514:same or compatible license
1020:Interactive Data Language
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413:Free Software Foundation
306:,reg_explain(ret1) data2
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72:This is a file from the
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902:Linear trend estimation
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586:21:25, 20 December 2004
272:,reg_explain(ret) data1
76:. Information from its
1080:ഡിമാൻഡ് ഫോർകാസ്റ്റിംഗ്
348:pp_regress_plot,ret,th
79:description page there
664:13:32, 12 August 2004
651:13:50, 12 August 2004
638:14:00, 12 August 2004
625:14:05, 12 August 2004
612:21:17, 14 August 2004
599:22:13, 14 August 2004
336:pp_regress(y2,data2)
302:pp_regress(y1,data1)
864:19:19, 20 March 2006
980:Χρονολογικές Σειρές
495:– to adapt the work
340:,reg_explain(ret2)
268:pp_regress(y,data)
1100:Tidsrekkjeanalyse
970:Zeitreihenanalyse
918:Global file usage
890:
782:copyright license
764:copyright license
690:
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552:Transferred from
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74:Wikimedia Commons
32:Global file usage
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1165:Serye ng panahon
1145:Trend estimation
1090:Tijdreeksanalyse
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734:copyright status
720:copyright status
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516:as the original.
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558:to Commons by
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581:edit summary
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1175:Zaman serisi
1120:Эконометрика
1030:Dhèrèt wektu
921:
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832:File history
620:(Add code.)
555:en.wikipedia
551:
536:CC BY-SA 3.0
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87:You can help
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22:File history
1190:Економетрія
1185:Часовий ряд
1000:Deret waktu
940:Времеви ред
907:Time series
750:copyrighted
724:copyrighted
646:(Comments)
510:share alike
504:attribution
157:not given.
155:reg_explain
141:Source code
1200:سلسلہ زماں
893:File usage
873:601 × 447
849:Dimensions
344:,y,data,yr
328:avg(data2,
294:avg(data1,
151:pp_regress
145:Source in
27:File usage
1220:概率同統計學詞彙表
1155:Tidsserie
846:Thumbnail
843:Date/Time
594:(tagged)
575:date/time
470:license.
53:image/png
685:Captions
578:username
493:to remix
487:to share
181:(seed,n)
860:current
855:Comment
709:depicts
689:English
324:) data2
290:) data1
179:randomn
49:
881:Maksim
875:(9 KB)
607:(fmt)
560:Maksim
332:) ret2
313:(data,
311:reform
298:) ret1
279:(data,
277:reform
236:indgen
208:indgen
202:(n) y1
200:indgen
186:indgen
887:super
373:oplot
356:oplot
338:print
304:print
270:print
264:) ret
1015:傾向推定
852:User
567:here
545:true
542:true
435:true
432:true
426:GFDL
342:plot
230:) y2
168:data
166:1000
153:and
17:File
1040:시계열
382:,th
365:,th
322:100
315:100
250:100
243:100
195:. y
193:100
188:(n)
147:IDL
135:not
562:.
317:,n
288:10
283:,n
281:10
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238:(n
234:y(
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210:(n
206:y(
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