activity
20082016
most citedImproved estimators for a general class of beta regression models

308 citations · 322 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2016

Asymptotic adjustments of Pearson residuals in exponential family nonlinear models

Andréa V. Rocha, Alexandre B. Simas

In this work we define a set of corrected Pearson residuals for continuous exponential family nonlinear models that have the same distribution as the true Pearson residuals up to o…

stat.ME2016

Improved residuals for linear regression models under heteroskedasticity of unknown form

Andréa V. Rocha, Evelina Shamarova, Alexandre B. Simas

In this work we introduce a new residual for normal linear models that are suitable for situations in which we are dealing with heteroskedasticity of unknown form, they are referre…

stat.ME2010★ 12 cited

Skewness of maximum likelihood estimators in dispersion models

Alexandre B. Simas, Gauss M. Cordeiro, Andréa V. Rocha

We introduce the dispersion models with a regression structure to extend the generalized linear models, the exponential family nonlinear models (Cordeiro and Paula, 1989) and the p…

stat.ME2010★ 2 cited

Improved estimators for dispersion models with dispersion covariates

Alexandre B. Simas, Andréa V. Rocha, Wagner Barreto-Souza

In this paper we discuss improved estimators for the regression and the dispersion parameters in an extended class of dispersion models (Jørgensen, 1996). This class extends the re…

stat.ME2008★ 308 cited

Improved estimators for a general class of beta regression models

Alexandre B. Simas, Wagner Barreto-Souza, Andréa V. Rocha

In this paper we consider an extension of the beta regression model proposed by Ferrari and Cribari-Neto (2004). We extend their model in two different ways, first, we let the regr…