Influence of data transformations on estimation of variance components

Authors

  • Ivani Pozar Otsuk Instituto de Zootecnia, Divisão Técnica Básica e Auxiliar, Seção de Estatística e Técnica Experimental, Nova Odessa, SP
  • Decio Barbin Universidade de São Paulo, ESALQ, Departamento de Matemática e Estatística, Piracicaba, SP
  • José Eduardo Corrente

Keywords:

variance components, transformation, aaplied atatistics, genetic - statistics, restricted maximum lokelihood

Abstract

Models with random effects are being used intensively in researches for genetic breeding. Application of these models is done to get estimation of variance components, although the methods used these estimations are get largely discussed in the literature. When data are not normally distributed, it is suggested the use of the data transformation that normalizes these data and get homogeneous variance. These transformations are being indicated by several authors considering the data distributions. Thus, using a proportion accounted for the explained variance and by simulation in a model for a completely randomized design, it was analysed the effect of the data transformation on the estimation of variance components for treatment effects and it was supposed that data follow the Binomial and Poisson distributions. The method used for estimation of variance components was the Restricted Maximum Likelihood and to get these data it was utilized the subroutines of SAS system. It was verified that the proportion of explained variances demonstrated no great differences when the data were transformed, and it was confirmed the literature indication that for variance components estimation it is not necessary the normal distribution of the data.

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Published

2014-01-14

Issue

Section

GENETIC

How to Cite

Influence of data transformations on estimation of variance components. (2014). Bulletin of Animal Husbandry, 48(2), 129-139. http://bia.iz.sp.gov.br/index.php/bia/article/view/872

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