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Alternative for the evaluation of coffee seedlings using Fisher's discriminant analysis Rev. Ciênc. Agron.
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
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How to analyze germination of species with empty seeds using contemporary statistical methods? Acta Botanica
Santana,Denise Garcia de; Carvalho,Fábio Janoni; Toorop,Peter.
ABSTRACT Statistical analysis is considered an important tool for scientific studies, including those on seeds. However, seed scientists and statisticians often disagree on the nature of variables addressed in germination experiments. Statisticians consider the number of germinated seeds to be a binomially distributed variable, whereas seed scientists convert it into a percentage and often analyze it as a normally distributed variable. The requirement for normal adjustment restricts the models of analysis of variance that can be used. Lack of fit requires nonparametric tests, but they are known by their inferential problems. Generalized Linear Models (GLM) can provide better fit to germination variables for any species, including Lychnophora ericoides...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Brazilian arnica; Campos rupestres; Data transformation; Deviance analysis; Generalized Linear Models; Relative germination.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062018000200271
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