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20082014
most citedBirnbaum-Saunders nonlinear regression models

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

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12 papers · 1 filter

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…

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…

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…

stat.ME2010★ 21 cited

A log-Birnbaum-Saunders Regression Model with Asymmetric Errors

Artur J. Lemonte

The paper by Leiva et al. (2010) introduced a skewed version of the sinh-normal distribution, discussed some of its properties and characterized an extension of the Birnbaum-Saunde…

stat.ME2010★ 31 cited

Size and power properties of some tests in the Birnbaum-Saunders regression model

Artur Lemonte, Silvia Ferrari

The 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 paper we obtai…