Testing for Correlated Errors in the Analysis of Variance
In a two-way analysis of variance, one factor may have a spatial or temporal structure, in which case correlation may be expected between the errors for the different levels of that factor. This note suggests a procedure for checking this in analyses with just one observation per combination of leve...
Gespeichert in:
| Veröffentlicht in: | Biometrics 1988-09, Vol.44 (3), p.695-704 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 704 |
|---|---|
| container_issue | 3 |
| container_start_page | 695 |
| container_title | Biometrics |
| container_volume | 44 |
| creator | Cameron, M. A. Eagleson, G. K. Willcox, M. E. Laing, D. G. Panhuber, H. |
| description | In a two-way analysis of variance, one factor may have a spatial or temporal structure, in which case correlation may be expected between the errors for the different levels of that factor. This note suggests a procedure for checking this in analyses with just one observation per combination of levels of the two factors. The procedure involves calculation of correlation coefficients. It is illustrated on measurements of the size of mitral cells in the olfactory bulbs of rats. |
| doi_str_mv | 10.2307/2531584 |
| format | Article |
| fullrecord | <record><control><sourceid>jstor_cross</sourceid><recordid>TN_cdi_crossref_primary_10_2307_2531584</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>2531584</jstor_id><sourcerecordid>2531584</sourcerecordid><originalsourceid>FETCH-LOGICAL-c282t-31523f4a6477c3cc1677abd072e4f2e00adb124b1babcd7d448364e440242b0b3</originalsourceid><addsrcrecordid>eNp1z09LAzEQBfAgCtYqfoUcFE-rk8lk0x5LqX-g4KWKtyXJJrpl3S2TvfTbu9KCJ0_DwI_He0JcK7hHDfYBjVZmRidiogypAgjhVEwAoCw0qY9zcZHzdnznBnAi5puYh6b7lKlnueyZY-uGWMsVc89ZNp0cvqJcdK7d5ybLPsl3x43rQrwUZ8m1OV4d71S8Pa42y-di_fr0slysi4AzHIqxDOpEriRrgw5BldY6X4PFSAkjgKu9QvLKOx9qWxPNdEmRCJDQg9dTcXfIDdznzDFVO26-He8rBdXv4uq4eJS3B7lzObg28VizyX98bgwYLEd3c3DbPPT8b9wP_mlevA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Testing for Correlated Errors in the Analysis of Variance</title><source>Jstor Complete Legacy</source><source>JSTOR Mathematics & Business</source><creator>Cameron, M. A. ; Eagleson, G. K. ; Willcox, M. E. ; Laing, D. G. ; Panhuber, H.</creator><creatorcontrib>Cameron, M. A. ; Eagleson, G. K. ; Willcox, M. E. ; Laing, D. G. ; Panhuber, H.</creatorcontrib><description>In a two-way analysis of variance, one factor may have a spatial or temporal structure, in which case correlation may be expected between the errors for the different levels of that factor. This note suggests a procedure for checking this in analyses with just one observation per combination of levels of the two factors. The procedure involves calculation of correlation coefficients. It is illustrated on measurements of the size of mitral cells in the olfactory bulbs of rats.</description><identifier>ISSN: 0006-341X</identifier><identifier>EISSN: 1541-0420</identifier><identifier>DOI: 10.2307/2531584</identifier><identifier>CODEN: BIOMA5</identifier><language>eng</language><publisher>Malden, MA: Biometric Society</publisher><subject>Analysis of variance ; Biological and medical sciences ; Biometrics ; Coefficients ; Computerized, statistical medical data processing and models in biomedicine ; Correlation coefficients ; Correlations ; Critical points ; Medical sciences ; Null hypothesis ; Olfactory bulb ; P values ; Statistical variance</subject><ispartof>Biometrics, 1988-09, Vol.44 (3), p.695-704</ispartof><rights>Copyright 1988 The Biometric Society</rights><rights>1991 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c282t-31523f4a6477c3cc1677abd072e4f2e00adb124b1babcd7d448364e440242b0b3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/2531584$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/2531584$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,828,27903,27904,57996,58000,58229,58233</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19550526$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Cameron, M. A.</creatorcontrib><creatorcontrib>Eagleson, G. K.</creatorcontrib><creatorcontrib>Willcox, M. E.</creatorcontrib><creatorcontrib>Laing, D. G.</creatorcontrib><creatorcontrib>Panhuber, H.</creatorcontrib><title>Testing for Correlated Errors in the Analysis of Variance</title><title>Biometrics</title><description>In a two-way analysis of variance, one factor may have a spatial or temporal structure, in which case correlation may be expected between the errors for the different levels of that factor. This note suggests a procedure for checking this in analyses with just one observation per combination of levels of the two factors. The procedure involves calculation of correlation coefficients. It is illustrated on measurements of the size of mitral cells in the olfactory bulbs of rats.</description><subject>Analysis of variance</subject><subject>Biological and medical sciences</subject><subject>Biometrics</subject><subject>Coefficients</subject><subject>Computerized, statistical medical data processing and models in biomedicine</subject><subject>Correlation coefficients</subject><subject>Correlations</subject><subject>Critical points</subject><subject>Medical sciences</subject><subject>Null hypothesis</subject><subject>Olfactory bulb</subject><subject>P values</subject><subject>Statistical variance</subject><issn>0006-341X</issn><issn>1541-0420</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1988</creationdate><recordtype>article</recordtype><recordid>eNp1z09LAzEQBfAgCtYqfoUcFE-rk8lk0x5LqX-g4KWKtyXJJrpl3S2TvfTbu9KCJ0_DwI_He0JcK7hHDfYBjVZmRidiogypAgjhVEwAoCw0qY9zcZHzdnznBnAi5puYh6b7lKlnueyZY-uGWMsVc89ZNp0cvqJcdK7d5ybLPsl3x43rQrwUZ8m1OV4d71S8Pa42y-di_fr0slysi4AzHIqxDOpEriRrgw5BldY6X4PFSAkjgKu9QvLKOx9qWxPNdEmRCJDQg9dTcXfIDdznzDFVO26-He8rBdXv4uq4eJS3B7lzObg28VizyX98bgwYLEd3c3DbPPT8b9wP_mlevA</recordid><startdate>19880901</startdate><enddate>19880901</enddate><creator>Cameron, M. A.</creator><creator>Eagleson, G. K.</creator><creator>Willcox, M. E.</creator><creator>Laing, D. G.</creator><creator>Panhuber, H.</creator><general>Biometric Society</general><general>Blackwell</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19880901</creationdate><title>Testing for Correlated Errors in the Analysis of Variance</title><author>Cameron, M. A. ; Eagleson, G. K. ; Willcox, M. E. ; Laing, D. G. ; Panhuber, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c282t-31523f4a6477c3cc1677abd072e4f2e00adb124b1babcd7d448364e440242b0b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1988</creationdate><topic>Analysis of variance</topic><topic>Biological and medical sciences</topic><topic>Biometrics</topic><topic>Coefficients</topic><topic>Computerized, statistical medical data processing and models in biomedicine</topic><topic>Correlation coefficients</topic><topic>Correlations</topic><topic>Critical points</topic><topic>Medical sciences</topic><topic>Null hypothesis</topic><topic>Olfactory bulb</topic><topic>P values</topic><topic>Statistical variance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cameron, M. A.</creatorcontrib><creatorcontrib>Eagleson, G. K.</creatorcontrib><creatorcontrib>Willcox, M. E.</creatorcontrib><creatorcontrib>Laing, D. G.</creatorcontrib><creatorcontrib>Panhuber, H.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>Biometrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cameron, M. A.</au><au>Eagleson, G. K.</au><au>Willcox, M. E.</au><au>Laing, D. G.</au><au>Panhuber, H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Testing for Correlated Errors in the Analysis of Variance</atitle><jtitle>Biometrics</jtitle><date>1988-09-01</date><risdate>1988</risdate><volume>44</volume><issue>3</issue><spage>695</spage><epage>704</epage><pages>695-704</pages><issn>0006-341X</issn><eissn>1541-0420</eissn><coden>BIOMA5</coden><abstract>In a two-way analysis of variance, one factor may have a spatial or temporal structure, in which case correlation may be expected between the errors for the different levels of that factor. This note suggests a procedure for checking this in analyses with just one observation per combination of levels of the two factors. The procedure involves calculation of correlation coefficients. It is illustrated on measurements of the size of mitral cells in the olfactory bulbs of rats.</abstract><cop>Malden, MA</cop><pub>Biometric Society</pub><doi>10.2307/2531584</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0006-341X |
| ispartof | Biometrics, 1988-09, Vol.44 (3), p.695-704 |
| issn | 0006-341X 1541-0420 |
| language | eng |
| recordid | cdi_crossref_primary_10_2307_2531584 |
| source | Jstor Complete Legacy; JSTOR Mathematics & Business |
| subjects | Analysis of variance Biological and medical sciences Biometrics Coefficients Computerized, statistical medical data processing and models in biomedicine Correlation coefficients Correlations Critical points Medical sciences Null hypothesis Olfactory bulb P values Statistical variance |
| title | Testing for Correlated Errors in the Analysis of Variance |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T16%3A48%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Testing%20for%20Correlated%20Errors%20in%20the%20Analysis%20of%20Variance&rft.jtitle=Biometrics&rft.au=Cameron,%20M.%20A.&rft.date=1988-09-01&rft.volume=44&rft.issue=3&rft.spage=695&rft.epage=704&rft.pages=695-704&rft.issn=0006-341X&rft.eissn=1541-0420&rft.coden=BIOMA5&rft_id=info:doi/10.2307/2531584&rft_dat=%3Cjstor_cross%3E2531584%3C/jstor_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_jstor_id=2531584&rfr_iscdi=true |