activity
20082014
most citedBirnbaum-Saunders nonlinear regression models

51 citations · 327 across the 15 of their papers we have counts for

collaborators

15 papers

stat.ME2014★ 8 cited

Exponentiated Weibull-logarithmic Distribution: Model, Properties and Applications

Eisa Mahmoudi, Afsaneh Sepahdar, Artur Lemonte

In this paper, we introduce a new four-parameter generalization of the exponentiated Weibull (EW) distribution, called the exponentiated Weibull-logarithmic (EWL) distribution, whi…

stat.ME2013

Improved likelihood inference in generalized linear models

Tiago M. Vargas, Silvia L. P. Ferrari, Artur J. Lemonte

We address the issue of performing testing inference in generalized linear models when the sample size is small. This class of models provides a straightforward way of modeling nor…

math.ST2012

Gradient statistic: higher-order asymptotics and Bartlett-type correction

Tiago M. Vargas, Silvia L. P. Ferrari, Artur J. Lemonte

We obtain an asymptotic expansion for the null distribution function of thegradient statistic for testing composite null hypotheses in the presence of nuisance parameters. The expa…

stat.ME2012

Skewed Multivariate Birnbaum-Saunders Distributions

Artur J. Lemonte, Guillermo Martínez-Florez, Germán Moreno-Arenas

The univariate Birnbaum-Saunders distribution has been used quite effectively to model times to failure for materials subject to fatigue and for modeling lifetime data. In this art…

math.ST2011

Local power of the LR, Wald, score and gradient tests in dispersion models

Artur J. Lemonte, Silvia L. P. Ferrari

We derive asymptotic expansions up to order for the nonnull distribution functions of the likelihood ratio, Wald, score and gradient test statistics in the class of disp…

stat.ME2010★ 34 cited

Testing hypotheses in the Birnbaum-Saunders distribution under type-II censored samples

Artur J. Lemonte, Silvia L. P. Ferrari

The two-parameter Birnbaum-Saunders distribution has been used succesfully to model fatigue failure times. Although censoring is typical in reliability and survival studies, little…