Akaike information criterion;
Asymptotic confidence interval;
Bivariate Birnbaum–Saunders distribution;
Bootstrap confidence interval;
Least-squares estimators;
Likelihood ratio test;
Maximum likelihood estimates;
D O I:
暂无
中图分类号:
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.
机构:
Stephen F Austin State Univ, Dept Math & Stat, Box 13040-SFA Stn, Nacogdoches, TX 75962 USAStephen F Austin State Univ, Dept Math & Stat, Box 13040-SFA Stn, Nacogdoches, TX 75962 USA
Riggs, Kent
Young, Dean M.
论文数: 0引用数: 0
h-index: 0
机构:
Baylor Univ, Dept Stat Sci, Waco, TX 76798 USAStephen F Austin State Univ, Dept Math & Stat, Box 13040-SFA Stn, Nacogdoches, TX 75962 USA
Young, Dean M.
Stamey, James D.
论文数: 0引用数: 0
h-index: 0
机构:
Baylor Univ, Dept Stat Sci, Waco, TX 76798 USAStephen F Austin State Univ, Dept Math & Stat, Box 13040-SFA Stn, Nacogdoches, TX 75962 USA