Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.2/2058
Título: Analysis of residuals and adjustment in JRA
Autor: Oliveira, Amílcar
Oliveira, Teresa
Mexia, João Tiago
Palavras-chave: Joint Regression Analysis
Ziz-zag algorithm
Residuals
Data: 2008
Editora: Polskie Towarzystwo Biometryczne
Citação: Oliveira, Amílcar; Oliveira, Teresa; Mexia, João Tiago - Analysis of residuals and adjustment in JRA. "Biometrical Letters". ISSN 1896-3811. Vol. 45, Nº 1 (2008), p. 45-54
Resumo: Joint Regression Analysis (JRA) is based in linear regression applied to yields, adjusting one linear regression per cultivar. The environmental indexes in JRA correspond to a non observable regressor which measures the productivity of the blocks in the field trials. Usually zig-zag algorithm is used in the adjustment. In this algorithm, minimizations for the regression coefficients alternate with those for the environmental indexes. The algorithm has performed very nicely but a general proof of convergence to the absolute minimum of the sum of squares of residues is still lucking. We now present a model for the residues that may be used to validate the adjustments carried out by the zig-zag algorithm.
Peer review: yes
URI: http://hdl.handle.net/10400.2/2058
ISSN: 1896-3811
Versão do Editor: http://www.au.poznan.pl/biometrical.letters/index.php?p=abstract&a=2008.45.1.3
Aparece nas colecções:Matemática e Estatística - Artigos em revistas internacionais / Papers in international journals

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