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Application of Selective F tests in Joint Regression Analysis

  • D. G. Pereira
  • J. T. Mexia
Article

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.

AMS Subject Classification

62J05 62F03 62K99 

Keywords

Joint Regressions Analysis Selective F tests Linear regressions L2 environmental indices 

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Copyright information

© Grace Scientific Publishing 2008

Authors and Affiliations

  1. 1.Department of Mathematics, University of ÉvoraCIMA-UE (Center for Research on Mathematics and itś Applications) Colégio Luís António VerneyÉvoraPortugal
  2. 2.Department of Mathematics, Faculty of Sciences and Technology, Nova University of LisbonCMA-UNL (Center for Mathematics and itś Applications)Monte da CaparicaPortugal

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