%0 Journal Article
%T A New Extended Birnbaum每Saunders Model: Properties, Regression and Applications
%A Adriano Kamimura Suzuki
%A Edwin Mois谷s Marcos Ortega
%A Gauss Moutinho Cordeiro
%A Maria Do Carmo Soares De Lima
%J Stats | An Open Access Journal from MDPI
%D 2018
%R https://doi.org/10.3390/stats1010004
%X Abstract We propose an extended fatigue lifetime model called the odd log-logistic Birnbaum每Saunders每Poisson distribution, which includes as special cases the Birnbaum每Saunders and odd log-logistic Birnbaum每Saunders distributions. We obtain some structural properties of the new distribution. We define a new extended regression model based on the logarithm of the odd log-logistic Birnbaum每Saunders每Poisson random variable. For censored data, we estimate the parameters of the regression model using maximum likelihood. We investigate the accuracy of the maximum likelihood estimates using Monte Carlo simulations. The importance of the proposed models, when compared to existing models, is illustrated by means of two real data sets. View Full-Tex
%K Birnbaum每Saunders distribution
%K fatigue life distribution
%K lifetime data
%K maximum likelihood estimation
%K regression model
%U https://www.mdpi.com/2571-905X/1/1/4