Comparison of a class of regression equations
T. E. Jackson The method described in this paper offers a means of comparing linear regression equations with many parameters by utilizing joint parameter confidence regions. It is useful when comparing sets of data in which each set is represented by a similar regression equation. The method consis...
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| Veröffentlicht in: | American journal of physiology. Regulatory, integrative and comparative physiology integrative and comparative physiology, 1984-03, Vol.246 (3), p.271-R276 |
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| container_end_page | R276 |
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| container_issue | 3 |
| container_start_page | 271 |
| container_title | American journal of physiology. Regulatory, integrative and comparative physiology |
| container_volume | 246 |
| creator | Jackson, T. E |
| description | T. E. Jackson
The method described in this paper offers a means of comparing linear
regression equations with many parameters by utilizing joint parameter
confidence regions. It is useful when comparing sets of data in which each
set is represented by a similar regression equation. The method consists of
establishing a full-rank linear model with the data sets to be considered
and then testing hypotheses concerning parameters of the model. It is
conveniently expressed in matrix algebra form and is amenable to computer
analysis. |
| doi_str_mv | 10.1152/ajpregu.1984.246.3.R271 |
| format | Article |
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The method described in this paper offers a means of comparing linear
regression equations with many parameters by utilizing joint parameter
confidence regions. It is useful when comparing sets of data in which each
set is represented by a similar regression equation. The method consists of
establishing a full-rank linear model with the data sets to be considered
and then testing hypotheses concerning parameters of the model. It is
conveniently expressed in matrix algebra form and is amenable to computer
analysis.</description><identifier>ISSN: 0363-6119</identifier><identifier>ISSN: 0002-9513</identifier><identifier>EISSN: 1522-1490</identifier><identifier>DOI: 10.1152/ajpregu.1984.246.3.R271</identifier><identifier>PMID: 6703082</identifier><identifier>CODEN: AJPRDO</identifier><language>eng</language><publisher>Bethesda, MD: American Physiological Society</publisher><subject>Biological and medical sciences ; Fundamental and applied biological sciences. Psychology ; General aspects ; Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) ; Regression Analysis</subject><ispartof>American journal of physiology. Regulatory, integrative and comparative physiology, 1984-03, Vol.246 (3), p.271-R276</ispartof><rights>1985 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=8900353$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/6703082$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jackson, T. E</creatorcontrib><title>Comparison of a class of regression equations</title><title>American journal of physiology. Regulatory, integrative and comparative physiology</title><addtitle>Am J Physiol</addtitle><description>T. E. Jackson
The method described in this paper offers a means of comparing linear
regression equations with many parameters by utilizing joint parameter
confidence regions. It is useful when comparing sets of data in which each
set is represented by a similar regression equation. The method consists of
establishing a full-rank linear model with the data sets to be considered
and then testing hypotheses concerning parameters of the model. It is
conveniently expressed in matrix algebra form and is amenable to computer
analysis.</description><subject>Biological and medical sciences</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)</subject><subject>Regression Analysis</subject><issn>0363-6119</issn><issn>0002-9513</issn><issn>1522-1490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1984</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpNkF1LwzAUhoMoc05_grgL8a41J-na5lKGXzAQRK_DaZpsHe1ac1Zk_96UleFVDrzP-cjD2B3wGGAhHnHbebvuY1B5EoskjWX8KTI4Y9OQiggSxc_ZlMtURimAumRXRFvOeSITOWGTNOOS52LKomXbdOgranfz1s1xbmokGsow3luiKgT2p8d9KOiaXTisyd6M74x9vzx_Ld-i1cfr-_JpFRmZq31UouSlU5niTiJAmRcpILeZ5SBQuYUoHFeqFGikCYQVZZblJRhwNglYIWfs4Ti38-1Pb2mvm4qMrWvc2bYnnUP4isplALMjaHxL5K3Tna8a9AcNXA-i9ChKD6J0EKWlHkSFzttxRV80tjz1jWZCfj_mSAZr53FnKjphueJcLoYDoiO2qdab38pb3W0OQVrdrg-n3f_W_gFCMYNU</recordid><startdate>198403</startdate><enddate>198403</enddate><creator>Jackson, T. E</creator><general>American Physiological Society</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>198403</creationdate><title>Comparison of a class of regression equations</title><author>Jackson, T. E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c389t-da30df9790f3a11d8b61a0e7e012a9f52bf099d2ac3cf3ae2d778d1c1fe40e7b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1984</creationdate><topic>Biological and medical sciences</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)</topic><topic>Regression Analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jackson, T. E</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of physiology. Regulatory, integrative and comparative physiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jackson, T. E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of a class of regression equations</atitle><jtitle>American journal of physiology. Regulatory, integrative and comparative physiology</jtitle><addtitle>Am J Physiol</addtitle><date>1984-03</date><risdate>1984</risdate><volume>246</volume><issue>3</issue><spage>271</spage><epage>R276</epage><pages>271-R276</pages><issn>0363-6119</issn><issn>0002-9513</issn><eissn>1522-1490</eissn><coden>AJPRDO</coden><abstract>T. E. Jackson
The method described in this paper offers a means of comparing linear
regression equations with many parameters by utilizing joint parameter
confidence regions. It is useful when comparing sets of data in which each
set is represented by a similar regression equation. The method consists of
establishing a full-rank linear model with the data sets to be considered
and then testing hypotheses concerning parameters of the model. It is
conveniently expressed in matrix algebra form and is amenable to computer
analysis.</abstract><cop>Bethesda, MD</cop><pub>American Physiological Society</pub><pmid>6703082</pmid><doi>10.1152/ajpregu.1984.246.3.R271</doi></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0363-6119 |
| ispartof | American journal of physiology. Regulatory, integrative and comparative physiology, 1984-03, Vol.246 (3), p.271-R276 |
| issn | 0363-6119 0002-9513 1522-1490 |
| language | eng |
| recordid | cdi_highwire_physiology_ajpregu_246_3_R271 |
| source | MEDLINE; Alma/SFX Local Collection |
| subjects | Biological and medical sciences Fundamental and applied biological sciences. Psychology General aspects Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Regression Analysis |
| title | Comparison of a class of regression equations |
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