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A skew-t quantile regression for censored and missing data
ArticleAbstract: Quantile regression has emerged as an important analytical alternative to the classical mean regressPalabras claves:Autores:Bourguignon M., Christian Galarza Morales, Lachos V.H.Fuentes:googlescopusEstimation and diagnostics for partially linear censored regression models based on heavy-tailed distributions
ArticleAbstract: In many studies, limited or censored data are collected. This occurs, in several practical situationPalabras claves:Censored regression model, EMtype algorithm, Local influence, Partially linear models, scale mixtures of normal distributionsAutores:Christian Galarza Morales, Lachos V.H., Lemus M.N., Matos L.A.Fuentes:googlescopusOn moments of folded and truncated multivariate Student-t distributions based on recurrence relations
ArticleAbstract: The use of the first two moments of the truncated multivariate Student-t distribution has attractedPalabras claves:EM algorithm, Folded multivariate Student-t distribution, Product moments, Truncated multivariate normal distribution, Truncated multivariate Student-t distributionAutores:Christian Galarza Morales, Lachos V.H., Lin T.I., Wang W.L.Fuentes:googlescopusLogistic Quantile Regression for Bounded Outcomes Using a Family of Heavy-Tailed Distributions
ArticleAbstract: Mean regression model could be inadequate if the probability distribution of the observed responsesPalabras claves:Bounded outcomes, EM algorithm, Primary 62M10, Quantile regression model, scale mixtures of normal distributions, Secondary 62E10Autores:Christian Galarza Morales, Lachos V.H., Zhang P.Fuentes:googlescopus