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Non-Parametric Statistical Methods and Data Transformations in Agricultural Pest Population Studies Chilean J. Agric. Res.
Cabrera Campos,Alcides; Guerra Bustillo,Caridad W; Herrera Villafranca,Magaly; Suris Campos,Moraima.
Analyzing data from agricultural pest populations regularly detects that they do not fulfill the theoretical requirements to implement classical ANOVA. Box-Cox transformations and nonparametric statistical methods are commonly used as alternatives to solve this problem. In this paper, we describe the results of applying these techniques to data from Thrips palmi Karny sampled in potato (Solanum tuberosum L.) plantations. The X² test was used for the goodness-of-fit of negative binomial distribution and as a test of independence to investigate the relationship between plant strata and insect stages. Seven data transformations were also applied to meet the requirements of classical ANOVA, which failed to eliminate the relationship between mean and variance....
Tipo: Journal article Palavras-chave: Kruskal-Wallis test; Negative binomial distribution; Box-Cox transformations; Thrips palmi; Solanum tuberosum.
Ano: 2012 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392012000300020
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