6 papers
A more interpretable regression model for count data with excess of zeros
Gustavo H. A. Pereira, Jeremias Leão, Manoel Santos-Neto +1
Count data are common in medical research. When these data have more zeros than expected by the most used count distributions, it is common to employ a zero-inflated regression mod…
Theoretical results and modeling under the discrete Birnbaum-Saunders distribution
Filidor Vilca, Roberto Vila, Helton Saulo +2
In this paper, we discuss some theoretical results and properties of a discrete version of the Birnbaum-Saunders distribution. We present a proof of the unimodality of this model.…
Bayesian Measurement Error Models Using Finite Mixtures of Scale Mixtures of Skew-Normal Distributions
C. R. B. Cabral, N. L. de Souza, J. Leão
We present a proposal to deal with the non-normality issue in the context of regression models with measurement errors when both the response and the explanatory variable are obser…
The negative binomial beta prime regression model with cure rate
Jeremias Leão, Marcelo Bourguignon, Manoel Santos-Neto +1
This paper introduces a cure rate survival model by assuming that the time to the event of interest follows a beta prime distribution and that the number of competing causes of the…
On a bivariate Birnbaum-Saunders distribution parameterized by its means: features, reliability analysis and application
Helton Saulo, Jeremias Leão, Roberto Vila +2
Birnbaum-Saunders models have been widely used to model positively skewed data. In this paper, we introduce a bivariate Birnbaum-Saunders distribution which has the means as parame…
A class of asymmetric regression models for left-censored data
Helton Saulo, Jeremias Leao, Juvencio Nobre +1
A common assumption regarding the standard tobit model is the normality of the error distribution. However, asymmetry and bimodality may be present and alternative tobit models mus…