Assessment of local influence in elliptical linear models with longitudinal structure
Computational Statistics & Data Analysis
Diagnostics analysis for log-Birnbaum-Saunders regression models
Computational Statistics & Data Analysis
Influence diagnostics in log-Birnbaum-Saunders regression models with censored data
Computational Statistics & Data Analysis
Lifetime analysis based on the generalized Birnbaum-Saunders distribution
Computational Statistics & Data Analysis
On Birnbaum-Saunders inference
Computational Statistics & Data Analysis
An adjusted boxplot for skewed distributions
Computational Statistics & Data Analysis
An R implementation for generalized Birnbaum-Saunders distributions
Computational Statistics & Data Analysis
On the glog-normal distribution and its application to the gene expression problem
Computational Statistics & Data Analysis
The Birnbaum-Saunders autoregressive conditional duration model
Mathematics and Computers in Simulation
Estimation of extreme percentiles in Birnbaum-Saunders distributions
Computational Statistics & Data Analysis
Diagnostics for a class of survival regression models with heavy-tailed errors
Computational Statistics & Data Analysis
Shape and change point analyses of the Birnbaum-Saunders-t hazard rate and associated estimation
Computational Statistics & Data Analysis
Generalized Birnbaum-Saunders kernel density estimators and an analysis of financial data
Computational Statistics & Data Analysis
On diagnostics in double generalized linear models
Computational Statistics & Data Analysis
A robust extension of the bivariate Birnbaum-Saunders distribution and associated inference
Journal of Multivariate Analysis
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In this paper, we carry out robust modeling and influence diagnostics in Birnbaum-Saunders (BS) regression models. Specifically, we present some aspects related to BS and log-BS distributions and their generalizations from the Student-t distribution, and develop BS-t regression models, including maximum likelihood estimation based on the EM algorithm and diagnostic tools. In addition, we apply the obtained results to real data from insurance, which shows the uses of the proposed model. Copyright © 2011 John Wiley & Sons, Ltd.