554 citations · 1.1k across the 23 of their papers we have counts for
28 papers
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…
Robust estimation in beta regression via maximum Lq-likelihood
Terezinha K. A. Ribeiro, Silvia L. P. Ferrari
Beta regression models are widely used for modeling continuous data limited to the unit interval, such as proportions, fractions, and rates. The inference for the parameters of bet…
Higher-order approximate confidence intervals
Eliane C. Pinheiro, Silvia L. P. Ferrari, Francisco M. C. Medeiros
Standard confidence intervals employed in applied statistical analysis are usually based on asymptotic approximations. Such approximations can be considerably inaccurate in small a…
Box-Cox elliptical distributions with application
Raúl Alejandro Morán-Vásquez, Silvia L. P. Ferrari
We propose and study the class of Box-Cox elliptical distributions. It provides alternative distributions for modeling multivariate positive, marginally skewed and possibly heavy-t…
Box-Cox symmetric distributions and applications to nutritional data
Silvia L. P. Ferrari, Giovana Fumes
We introduce the Box-Cox symmetric class of distributions, which is useful for modeling positively skewed, possibly heavy-tailed, data. The new class of distributions includes the…