Mariana Rodrigues-Motta

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In this research article, we propose a class of models for positive and zero responses by means of a zero-augmented mixed regression model. Under this class, we are particularly interested in studying positive responses whose distribution accommodates skewness. At the same time, responses can be zero, and therefore, we justify the use of a zero-augmented(More)
We propose generalized linear mixed models (GLMM) to evaluate the performance of undergraduate students from the State University of Campinas (Unicamp). For each student we have the final GPA score as well as the number of courses he/she failed during his/her Bachelor's degree. The courses are separated in three categories: Required (R), Elective (E) and(More)
Based on a set of cutting points we propose to categorize a beta-uniform (BUM) distribution, and term the categorized distribution as the C-BUM distribution. We study the categorization effects by comparing the performance of the maximum likelihood estimates for both models, for different sets of cutting points. Using the missing information principle we(More)
The purpose of this work is to present suitable statistical methods to study the performance of undergraduate students based on the incidence/proportion of failed courses. Some approaches are considered: in one of them the incidence of failed courses is modeled using zero inflated discrete distributions with heteroscedasticity, considering the logarithm of(More)
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