Another unit Burr XII quantile regression model based on the different reparameterization applied to dropout in Brazilian undergraduate courses

ABSTRACT: In many practical situations, there is an interest in modeling bounded random variables in the interval (0, 1), such as rates, proportions, and indexes. It is important to provide new continuous models to deal with the uncertainty involved by variables of this type. This paper proposes a new quantile regression model based on an alternative parameterization of the unit Burr XII (UBXII) distribution. For the UBXII distribution and its associated regression, we obtain score functions and observed information matrices. We use the maximum likelihood method to estimate the parameters of the regression model, and conduct a Monte Carlo study to evaluate the performance of its estimates in samples of finite size. Furthermore, we present general diagnostic analysis and model selection techniques fo

SUBMITTER: Ribeiro T 

PROVIDER: S-EPMC9632897 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature