2015
DOI: 10.1590/0103-8478cr20141531
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Abstract: Seleção da matriz de variância-covariância residual na análise de ensaios varietais com medidas repetidas em cana-de-açúcar.Ciência Rural, v.45, n.6, jun, 2015.

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Cited by 15 publications
(13 citation statements)
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“…In addition, I and DI data were analyzed by mixed models using the repeated measures method. The covariance structure that presented the best fit was selected according to Akaike and Bayesian information criteria (Silva et al, 2015). The means of the final evaluation, at 29 days, were compared by Tukey test at 5% probability.…”
Section: Methodsmentioning
confidence: 99%
“…In addition, I and DI data were analyzed by mixed models using the repeated measures method. The covariance structure that presented the best fit was selected according to Akaike and Bayesian information criteria (Silva et al, 2015). The means of the final evaluation, at 29 days, were compared by Tukey test at 5% probability.…”
Section: Methodsmentioning
confidence: 99%
“…Many methods have already been developed to facilitate the choice of the covariance structure that best explains the response of variability and correlation between the repeated measurements (FLORIANO et al, 2006;SILVA;DUARTE;REIS, 2015). The main criteria for selecting models used in computer programs are the AIC and Schwarz Bayesian Criterion -SBC criteria, which are based on the likelihood value of the model and depend on the number of observations and model parameters.…”
Section: Introductionmentioning
confidence: 99%
“…essa mesma estrutura de covariâncias foi selecionada no estudo desenvolvido por cecon et al (2008) ao avaliarem 50 clones de café "conilon" por meio da análise de medidas repetidas. Silva et al (2015), ao avaliarem nove estruturas de covariâncias em quatro experimentos de cana-de-açúcar, entre os anos de 2004 a 2009, concluíram que as estruturas aqui avaliadas (un e cSH) se destacaram dentre as demais, considerando os genótipos aleatórios. na tabela 4, são apresentados os resultados dos testes dos efeitos fixos do modelo considerando a análise de parcelas subdivididas para a variável altura da planta e o modelo misto com matriz de covariâncias dos erros Simetria composta Heterogênea para a variável diâmetro da planta.…”
Section: Resultsunclassified
“…a estrutura dessas matrizes é apresentada na tabela 1. Para selecionar a estrutura de covariâncias que melhor explique a correlação residual, foram utilizados os critérios de informação de akaike (aic) e o critério Bayesiano de Schwarz (Bic), sendo escolhido o modelo com menor valor de aic e Bic (cecon et al, 2008;ceStaRi et al, 2012;Silva et al, 2015).…”
Section: Materiais E Métodosunclassified