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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 |
Aparece nas coleções: | DES - Artigos publicados em periódicos |
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ARTIGO_Validation of stepwise-based procedure in GAMLSS.pdf | 373,54 kB | Adobe PDF | Visualizar/Abrir |
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