Logistic Quantile Regression for Bounded Outcomes Using a Family of Heavy-Tailed Distributions

Article

Abstract: Mean regression model could be inadequate if the probability distribution of the observed responses

Palabras claves:

Bounded outcomes, EM algorithm, Primary 62M10, Quantile regression model, scale mixtures of normal distributions, Secondary 62E10

Autores:

Christian Galarza Morales, Lachos V.H., Zhang P.

Fuentes:

google

scopus