Modified moment estimation for the two-parameter Birnbaum--Saunders distribution
Computational Statistics & Data Analysis
On the hazard function of Birnbaum-Saunders distribution and associated inference
Computational Statistics & Data Analysis
Reference analysis for Birnbaum-Saunders distribution
Computational Statistics & Data Analysis
Estimation of the Birnbaum-Saunders regression model with current status data
Computational Statistics & Data Analysis
Bivariate Birnbaum-Saunders distribution and associated inference
Journal of Multivariate Analysis
Bayesian analysis of Birnbaum-Saunders distribution with partial information
Computational Statistics & Data Analysis
Testing hypotheses in the Birnbaum-Saunders distribution under type-II censored samples
Computational Statistics & Data Analysis
Generalized interval estimation for the Birnbaum-Saunders distribution
Computational Statistics & Data Analysis
Improved Birnbaum-Saunders inference under type II censoring
Computational Statistics & Data Analysis
A robust extension of the bivariate Birnbaum-Saunders distribution and associated inference
Journal of Multivariate Analysis
Hi-index | 0.03 |
The maximum likelihood estimators, based on Type-II censored samples, of a two-parameter Birnbaum-Saunders distribution are discussed. We propose a simple bias-reduction method to reduce the bias of the maximum likelihood estimators. We also discuss a Monte Carlo EM-algorithm for the determination of the maximum likelihood estimators. Monte Carlo simulation is used to compare the performance of all these estimators. The probability coverages of confidence intervals based on inferential quantities associated with these estimators are evaluated using Monte Carlo simulations for small, moderate, and large sample sizes, for various degrees of censoring. Two illustrative examples and some concluding remarks are finally presented.