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Statistical model assumptions achieved by linear models: classics and generalized mixed Rev. Ciênc. Agron.
Melo,Rita Carolina de; Trevisani,Nicole; Santos,Marcio dos; Guidolin,Altamir Frederico; Coimbra,Jefferson Luís Meirelles.
ABSTRACT When an agricultural experiment is completed and the data about the response variable is available, it is necessary to perform an analysis of variance. However, the hypothesis testing of this analysis shows validity only if the assumptions of the statistical model are ensured. When such assumptions are violated, procedures must be applied to remedy the problem. The present study aimed to compare and investigate how the assumptions of the statistical model can be achieved by classical linear model and generalized linear mixed model, as well as their impact on the hypothesis test of the analysis of variance. The data used in this study was obtained from a genetic breeding program on the cooking time of segregating populations. The following...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Analysis of variance; Homogeneity of variance; Normality of errors; Crop breeding; Generalized linear mixed models.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000100415
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