Inference for the Burr XII reliability under progressive censoring with random removals

被引:15
|
作者
Gunasekera, Sumith [1 ]
机构
[1] Univ Tennessee, Dept Math, Chattanooga, TN 37403 USA
关键词
Burr XII distribution; Generalized variable method; Progressively type II censored sample; Uniformly distributed random removals; Reliability function; EMPIRICAL BAYES ESTIMATORS; STATISTICAL-INFERENCE; MODEL; VALUES;
D O I
10.1016/j.matcom.2017.07.011
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The inference about the reliability function of Burr XII distribution using the concept of generalized variable method based on progressively type II censoring with random removals, where the number of units removed at each failure time has a discrete uniform distribution, is proposed. As assessed by simulation, the coverage probabilities of the proposed approach are found to be very close to the nominal level even for small samples. The proposed new approaches are computationally simple and are easy to use. The method is illustrated using two examples. (C) 2017 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:182 / 195
页数:14
相关论文
共 50 条