Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/29960
Title: Likelihood ratio test between two groups of castor oil plant traits
Other Titles: Teste de razão de verossimilhança entre dois grupos de caracteres de mamoneira
Keywords: Ricinus communis L.
Type I error
Power test
Multivariate normal distribution
Erro tipo I
Distribuição normal multivariada
Issue Date: Jul-2016
Publisher: Universidade Federal de Santa Maria
Citation: BRUM, B. et al. Likelihood ratio test between two groups of castor oil plant traits. Ciência Rural, Santa Maria, v.46, n.7, p. 1158-1164, jul. 2016.
Abstract: The likelihood ratio test (LRT), to the independence between two sets of variables, allows to identify whether there is a dependency relationship between them. The aim of this study was to calculate the type I error and power of the LRT for determining independence between two sets of variables under multivariate normal distributions in scenarios consisting of combinations of 16 sample sizes; 40 combinations of the number of variables of the two groups; and nine degrees of correlation between the variables (for the power). The rate of type I error and power were calculate at 640 and 5,760 scenarios, respectively. A performance evaluation of the LRT was conducted by computer simulation by the Monte Carlo method, using 2,000 simulations in each scenario. When the number of variables was large (24), the TRV controlled the rate of type I errors and showed high power in sizes greater than 100 samples. For small sample sizes (25, 30 and 50), the test showed good performance because the number of variables did not exceed 12.
URI: http://repositorio.ufla.br/jspui/handle/1/29960
Appears in Collections:DES - Artigos publicados em periódicos

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