This paper proposes a general class of regression models for continuous proportions when
the data contain zeros or ones. The proposed class of models assumes that the response …

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables is
designed for graduate students and researchers in the behavioral, social, health, and …

Recently, the beta regression model has been used in several fields of science to model
data in the form of rate or proportion. In this paper, some novel and improved methods to …

In this paper we evaluate the performance of point and interval estimators based on the
maximum likelihood (ML) method for the nonlinear simplex regression model. Inferences …

Background: Between-and within-person variation in DNA methylation levels are important
parameters to be considered in epigenome-wide association studies. Temporal change is …

We consider the issue of performing accurate small-sample testing inference in beta
regression models, which are useful for modeling continuous variates that assume values in …

This paper addresses the issue of model selection in the beta regression model focused on
small samples. The Akaike information criterion (AIC) is a model selection criterion widely …

Beta regression (BR) models provide an adequate approach for modeling continuous
outcomes of limited intervals (0, 1). The BR model assumes that the dependent variable …

This paper proposes the beta binomial autoregressive moving average model (BBARMA) for
modeling quantized amplitude data and bounded count data. The BBARMA model …

Many parameters that describe poverty, social exclusion and inequality can take values in
the (0, 1) interval. This chapter discusses area level models for the estimation of these …