<b>Evaluating the power and the size of multivariate Levene’s test using Monte Carlo simulation and <em>bootstrap</em></b> - DOI: 10.4025/actascitechnol.v28i1.1293

  • Marcelo Angelo Cirillo UFLA
  • Daniel Furtado Ferreira UFLA
  • Thelma Sáfadi UFLA

Abstract

This work aimed to evaluate the I-type error rate and the power of Levene’s multivariate test using different location parameters to compare k covariance matrices. Monte Carlo’s simulation and bootstrap were used for this purpose. Configurations were considered with different degrees of correlations, heterogeneity of covariance matrices, sample sizes and number of variants. Results showed that Levene’s multivariate test centered on the mean is more powerfull in small sample size and with low degree of heterogeneity among covariance matrices; the bootstrap approach controlled the I-type error when median was used as scale parameter.

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Author Biography

Marcelo Angelo Cirillo, UFLA
Possui graduação em Bacharelado em Estatística pela UNESP - Universidade Estadual Paulista Júlio de Mesquita Filho (1999), mestrado em Estatística e Experimentação Agropecuária pela Universidade Federal de Lavras (2003) e doutorado em Estatística e Experimentação Agropecuária pela Universidade Federal de Lavras (2006). Atualmente é professor Adjunto nível I da Universidade Federal de Lavras atuando nas linhas de pesquisa: Análise Multivariada, Superfície de Resposta e Estatística Computacional com ênfase em métodos de computação intensiva Currículo Lattes
Published
2008-03-20
How to Cite
Cirillo, M. A., Ferreira, D. F., & Sáfadi, T. (2008). <b>Evaluating the power and the size of multivariate Levene’s test using Monte Carlo simulation and <em>bootstrap</em></b&gt; - DOI: 10.4025/actascitechnol.v28i1.1293. Acta Scientiarum. Technology, 28(1), 105-112. https://doi.org/10.4025/actascitechnol.v28i1.1293
Section
Statistics

 

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0.8
2019CiteScore
 
 
36th percentile
Powered by  Scopus