Many experiments in plants and animals, clinical trials and economic studies, have in common recording several measurements through time on the same experimental unit. These experiments use the mixed linear models with ...

Some studies generate data that are rates, proportions or probabilities, continuously restricted in the range (0, 1). The Beta regression allows to model this type of data and offers a number of advantages such as direct ...

There are many situations in which random variables involving some kind of percentage, ratio, or fraction. Many studies have shown that linear regression models are not appropriate to model this type of data. However, the ...

The generalized linear mixed model (MLGM) is a widely used model with random effects. It is a good alternative to traditional linear mixed models if the Normal distribution assumption is not satisfied. In this work we study ...

Two geo-statistical generalized linear models were fitted in a lot of coffee with a high incidence of rust. The models assumed normal distribution and binomial distribution, using different correlation functions and empirical ...

En este trabajo se usó la base de datos de estudiantes de nuevo ingreso proporcionada por la Oficina de Planificación, Investigación y Mejoramiento Institucional (OPIMI) del Recinto Universitario de Mayagüez. Se buscó ...

This paper presents the methodology and results from applying statistical methods to determine the thresholds of contamination of aquatic ecosystems. The objectives are to analyze methods to determine thresholds or turning ...

This work presents different alternatives for modeling binary longitudinal data for continuous and categorical outcomes. Using a logistic model with random inter- cept, we propose the Percentile Curves concept, which are ...