Inference for the bivariate Birnbaum–Saunders lifetime regression model and associated inference

被引:0
|
作者
N. Balakrishnan
Xiaojun Zhu
机构
[1] McMaster University,Department of Mathematics and Statistics
来源
Metrika | 2015年 / 78卷
关键词
Akaike information criterion; Asymptotic confidence interval; Bivariate Birnbaum–Saunders distribution; Bootstrap confidence interval; Least-squares estimators; Likelihood ratio test; Maximum likelihood estimates;
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学科分类号
摘要
In this paper, we discuss a regression model based on the bivariate Birnbaum–Saunders distribution. We derive the maximum likelihood estimates of the model parameters and then develop associated inference. Next, we briefly describe likelihood-ratio tests for some hypotheses of interest as well as some interval estimation methods. Monte Carlo simulations are then carried out to examine the performance of the estimators as well as the interval estimation methods. Finally, a numerical data analysis is performed for illustrating all the inferential methods developed here.
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页码:853 / 872
页数:19
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