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Data transformation: an underestimated tool by inappropriate use Agronomy
Ribeiro-Oliveira, João Paulo; Santana, Denise Garcia de; Pereira, Vanderley José; Santos, Carlos Machado dos.
There are researchers who do not recommend data transformation arguing it causes problems in inferences and mischaracterises data sets, which can hinder interpretation. There are other researchers who consider data transformation necessary to meet the assumptions of parametric models. Perhaps the largest group of researchers who make use of data transformation are concerned with experimental accuracy, which provokes the misuse of this tool. Considering this, our paper offer a study about the most frequent situations related to data transformation and how this tool can impact ANOVA assumptions and experimental accuracy. Our database was obtained from measurements of seed physiology and seed technology. The coefficient of variation cannot be used as an...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Assumptions; Coefficient of variation; Criteria for data transformation; Parametric and nonparametric statistics; Robustness.; Análise de Dados.
Ano: 2018 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/35300
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