Exact Bayesian variable sampling plans for the exponential distribution with progressive hybrid censoring

被引：21

作者：

Lin, Chien-Tai ^{[1
]}

Huang, Yen-Lung ^{[1
]}

Balakrishnan, N. ^{[2
]}

机构：

[1] Tamkang Univ, Dept Math, Tamsui 25137, Taiwan

[2] McMaster Univ, Dept Math & Stat, Hamilton, ON, Canada

来源：

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION | 2011年 / 81卷 / 07期

关键词：

Bayes risk; maximum likelihood estimation; optimal sampling plan; ordinary hybrid censoring; progressive censoring; progressive hybrid censoring;

D O I：

10.1080/00949650903524342

中图分类号：

TP39 [计算机的应用];

学科分类号：

080201 [机械制造及其自动化];

摘要：

From the exact distribution of the maximum likelihood estimator of the average lifetime based on progressive hybrid exponential censored sample, we derive an explicit expression for the Bayes risk of a sampling plan when a quadratic loss function is used. The simulated annealing algorithm is then used to determine the optimal sampling plan. Some optimal Bayes solutions under progressive hybrid and ordinary hybrid censoring schemes are presented to illustrate the effectiveness of the proposed method.

引用

页码：873 / 882

页数：10

共 11 条

[1]

[Anonymous], ANN STAT

[2]

[Anonymous], STATISTICIAN

[3]

Progressive censoring methodology: an appraisal [J].