Inference for constant-stress accelerated life test with Type-I progressively hybrid censored data from Burr-XII distribution

被引：0

作者：

Jiao Zhao ^{[1
]}

Yimin Shi ^{[1
]}

Weian Yan ^{[2
]}

机构：

[1] Department of Applied Mathematics, Northwestern Polytechnical University

[2] College of Marine Engineering, Northwestern Polytechnical University

来源：

Journal of Systems Engineering and Electronics | 2014年 / 25卷 / 02期

基金：

中国国家自然科学基金;

关键词：

constant-stress accelerated life test(ALT); Burr typeXII distribution; Type-I progressively hybrid censoring; maximum likelihood estimation(MLE); confidence interval(CI);

D O I：

暂无

中图分类号：

TL503 [加速器结构和制造工艺];

学科分类号：

082701 ;

摘要：

This paper proposes a simple constant-stress accelerated life test(ALT) model from Burr type XII distribution when the data are Type-I progressively hybrid censored. The maximum likelihood estimation(MLE) of the parameters is obtained through the numerical method for solving the likelihood equations. Approximate confidence interval(CI), based on normal approximation to the asymptotic distribution of MLE and percentile bootstrap CI is derived. Finally, a numerical example is introduced and then a Monte Carlo simulation study is carried out to illustrate the proposed method.

引用

页码：340 / 348

页数：9

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