Improved statistical inference for the two-parameter Birnbaum-Saunders distribution
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
On the hazard function of Birnbaum-Saunders distribution and associated inference
Computational Statistics & Data Analysis
Point and interval estimation for extreme-value regression model under Type-II censoring
Computational Statistics & Data Analysis
Influence diagnostics in beta regression
Computational Statistics & Data Analysis
Influence analysis with homogeneous linear restrictions
Computational Statistics & Data Analysis
Birnbaum-Saunders nonlinear regression models
Computational Statistics & Data Analysis
Estimation of the Birnbaum-Saunders regression model with current status data
Computational Statistics & Data Analysis
Improved likelihood inference in Birnbaum-Saunders regressions
Computational Statistics & Data Analysis
Size and power properties of some tests in the Birnbaum-Saunders regression model
Computational Statistics & Data Analysis
A mixed effects log-linear model based on the Birnbaum-Saunders distribution
Computational Statistics & Data Analysis
Diagnostics for a class of survival regression models with heavy-tailed errors
Computational Statistics & Data Analysis
Generalized interval estimation for the Birnbaum-Saunders distribution
Computational Statistics & Data Analysis
Influence diagnostics in linear and nonlinear mixed-effects models with censored data
Computational Statistics & Data Analysis
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A new class of extended Birnbaum-Saunders regression models is introduced. It can be applied to censored data and be used more effectively in survival analysis and fatigue life studies. Maximum likelihood estimation of the model parameters with censored data as well as influence diagnostics for the new regression model are investigated. The normal curvatures for studying local influence are derived under various perturbation schemes and a martingale-type residual is considered to assess departures from the extended Birnbaum-Saunders error assumption as well as to detect outlying observations. Further, a test of homogeneity of the shape parameters of the new regression model is proposed. Two real data sets are analyzed for illustrative purposes.