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Alternative for the evaluation of coffee seedlings using Fisher's discriminant analysis
Provedor de dados: 124
Autores: Campos,Katia Alves; Morais,Augusto Ramalho de; Paixão,Crysttian Arantes.
ABSTRACT One of the applications of Fisher's linear discriminant function (FDF) is its use in transforming multivariate data into a new univariate variable. This then makes possible a new option for the variance analysis of multivariate data, in addition to the multivariate analysis of variance (MANOVA). The aim of this work was to select groups of seven characteristics of quality in coffee seedlings using six criteria for selection, to use the FDF to transform such groupings of characteristics into a new variable, and then to compare interpretation of the results obtained from the univariate and multivariate analyses of variance of the characteristics and this new variable, with a view to its use in evaluating coffee seedlings. A randomised block design...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Variable selection; Multivariate analysis; Data transformation; Analysis of variance; Coffea arabica.
Ano: 2016
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902016000200299