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Title: Application of selective F tests in joint regression analysis
Authors: Pereira, D. G.
Mexia, J. T.
Editors: Gupta, Sat
Keywords: Joint Regressions Analysis
Selective F tests
Linear regressions
L 2 environmental indices
Issue Date: 2008
Publisher: Taylor & Francis
Citation: Application of Selective F Tests in Joint Regression Analysis D. G. Pereira, J. T. Mexia Journal of Statistical Theory and Practice Vol. 2, Iss. 1, 2008
Abstract: Joint 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.
Type: article
Appears in Collections:CIMA - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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