activity
20102025
most citedA New Generalized Kumaraswamy Distribution

8 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2025

Bivariate Simplex Distribution

Emerson Amaral, Lucas S. Vieira, Lizandra C. Fabio +2

This article proposes a bivariate Simplex distribution for modeling continuous outcomes constrained to the interval , which can represent proportions, rates, or indices. We…

stat.ME2024

A novel multivariate regression model for unbalanced binary data : a strong conjugacy under random effect approach

Lizandra C. Fabio, Vanessa Barros, Cristian Villegas +1

In this paper, we deduce a new multivariate regression model designed to fit correlated binary data. The multivariate distribution is derived from a Bernoulli mixed model with a no…

stat.ME2021

Diagnostic tools for a multivariate negative binomial model for fitting correlated data with overdispersion

Lizandra Castilho Fabio, Cristian Villegas, Jalmar M. F. Carrasco +1

We focus on the development of diagnostic tools and an R package called MNB for a multivariate negative binomial (MNB) regression model for detecting atypical and influential subje…

stat.ME2012

Errors-in-variables beta regression models

Jalmar M. F. Carrasco, Silvia L. P. Ferrari, Reinaldo B. Arellano-Valle

Beta regression models provide an adequate approach for modeling continuous outcomes limited to the interval (0,1). This paper deals with an extension of beta regression models tha…

stat.ME2010★ 8 cited

A New Generalized Kumaraswamy Distribution

Jalmar M. F. Carrasco, Silvia L. P. Ferrari, Gauss M. Cordeiro

A new five-parameter continuous distribution which generalizes the Kumaraswamy and the beta distributions as well as some other well-known distributions is proposed and studied. Th…