10 citations · 14 across the 6 of their papers we have counts for
6 papers
Comprehensive Regression and Diagnostics for Non-Negative Data Using the BCSreg Package
Francisco F. Queiroz, Rodrigo M. R. de Medeiros
Continuous positive data characterized by high skewness and heavy tails frequently arise in applied statistics. In other applications, these characteristics are accompanied by a po…
Robust inference in inflated beta regression
Francisco Felipe Queiroz, Silvia Lopes de Paula Ferrari
The inflated beta regression model is widely used for modeling continuous proportions with values at the boundaries. Maximum likelihood estimation for these models is well-known fo…
Bayesian structured additive quantile regression for inflated bounded data
Francisco F. Queiroz, Johannes Brachem, Paul F. V. Wiemann +1
Bounded continuous data on the unit interval frequently arise in applied fields and often exhibit a non-negligible proportion of observations at the boundaries. Inflated regression…
Flexible modeling of nonnegative continuous data: Box-Cox symmetric regression and its zero-adjusted extension
Rodrigo M. R. de Medeiros, Francisco F. Queiroz
The Box-Cox symmetric distributions constitute a broad class of probability models for positive continuous data, offering flexibility in modeling skewness and tail behavior. Their…
Robust beta regression through the logit transformation
Yuri S. Maluf, Silvia L. P. Ferrari, Francisco F. Queiroz
Beta regression models are employed to model continuous response variables in the unit interval, like rates, percentages, or proportions. Their applications rise in several areas,…
Power logit regression for modeling bounded data
Francisco Felipe Queiroz, Silvia Lopes Paula Ferrari
The main purpose of this paper is to introduce a new class of regression models for bounded continuous data, commonly encountered in applied research. The models, named the power l…