Application of selective F tests in joint regression analysis

dc.contributor.authorPereira, D. G.
dc.contributor.authorMexia, J. T.
dc.contributor.editorGupta, Sat
dc.date.accessioned2012-11-20T12:03:00Z
dc.date.available2012-11-20T12:03:00Z
dc.date.issued2008
dc.description.abstractJoint Regression Analysis (JRA) has been widely used to compare cultivars. In this technique a linear regression is adjusted per cultivar. The slope of each regression measures the ability of the corresponding cultivar to answer to variations in productivity. Recently, we are mainly interested in cultivars with better response to high fertility. To single out such cultivars, in the context of Joint Regression Analysis, selective F-tests are used to see if there is a cultivar with significantly larger slope.por
dc.identifier.authoremaildgsp@uevora.pt
dc.identifier.authoremailjtm@fct.unl.pt
dc.identifier.citationApplication of Selective F Tests in Joint Regression Analysis D. G. Pereira, J. T. Mexia Journal of Statistical Theory and Practice Vol. 2, Iss. 1, 2008por
dc.identifier.doi10.1080/15598608.2008.10411861
dc.identifier.scientificarea336por
dc.identifier.urihttp://hdl.handle.net/10174/5783
dc.language.isoporpor
dc.peerreviewedyespor
dc.publisherTaylor & Francispor
dc.rightsrestrictedAccesspor
dc.subjectJoint Regressions Analysispor
dc.subjectSelective F testspor
dc.subjectLinear regressionspor
dc.subjectL 2 environmental indicespor
dc.titleApplication of selective F tests in joint regression analysispor
dc.typearticlepor

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