Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/50655
Título: Validation of stepwise-based procedure in GAMLSS
Palavras-chave: Regression models
Stepwise-based approach
Model selection
Smoothing
Modelos de regressão
Abordagem passo a passo
Seleção de modelo
Suavização
Data do documento: Jan-2021
Editor: PubliMill
Citação: RAMIRES, T. G. et al. Validation of stepwise-based procedure in GAMLSS. Journal of Data Science, [S. l.], v. 19, n. 1, p. 96-110, Jan. 2021. DOI: 10.6339/21-JDS1003.
Resumo: One of the key features in regression models consists in selecting appropriate characteristics that explain the behavior of the response variable, in which stepwise-based procedures occupy a prominent position. In this paper we performed several simulation studies to investigate whether a specific stepwise-based approach, namely Strategy A, properly selects authentic variables into the generalized additive models for location, scale and shape framework, considering Gaussian, zero inflated Poisson and Weibull distributions. Continuous (with linear and nonlinear relationships) and categorical explanatory variables are considered and they are selected through some goodness-of-fit statistics. Overall, we conclude that the Strategy A greatly performed.
URI: http://repositorio.ufla.br/jspui/handle/1/50655
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