59 citations · 96 across the 19 of their papers we have counts for
5 papers · 2 filters
A parametric quantile beta regression for modeling case fatality rates of COVID-19
Marcelo Bourguignon, Diego I. Gallardo, Helton Saulo
Motivated by the case fatality rate (CFR) of COVID-19, in this paper, we develop a fully parametric quantile regression model based on the generalized three-parameter beta (GB3) di…
A Bimodal Model for Extremes Data
Cira E. G. Otiniano, Bianca Sousa, Roberto Vila +1
In extreme values theory, for a sufficiently large block size, the maxima distribution is approximated by the generalized extreme value (GEV) distribution. The GEV distribution is…
A Model for Bimodal Rates and Proportions
Roberto Vila, Lucas Alfaia, André F. B. Menezes +2
The beta model is the most important distribution for fitting data with the unit interval. However, the beta distribution is not suitable to model bimodal unit interval data. In th…
On the bimodal Gumbel model with application to environmental data
Cira E. G. Otiniano, Roberto Vila, Pedro C. Brom +1
The Gumbel model is a very popular statistical model due to its wide applicability for instance in the course of certain survival, environmental, financial or reliability studies.…
Parametric quantile regression models for fitting double bounded response with application to COVID-19 mortality rate data
Diego I. Gallardo, Marcelo Bourguignon, Yolanda M. Gómez +1
In this paper, we develop two fully parametric quantile regression models, based on power Johnson SB distribution Cancho et al. (2020), for modeling unit interval response at diffe…