Estimation for constant-stress accelerated life test from generalized half-normal distribution

Liang Wang; Yimin Shi

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Estimation for constant-stress accelerated life test from generalized half-normal distribution

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摘要

In the constant-stress accelerated life test, estimation issues are discussed for a generalized half-normal distribution under a log-linear life-stress model. The maximum likelihood estimates with the corresponding fixed point type iterative algorithm for unknown parameters are presented, and the least square estimates of the parameters are also proposed. Meanwhile, confidence intervals of model parameters are constructed by using the asymptotic theory and bootstrap technique. Numerical illustration is given to investigate the performance of our methods.

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《系统工程与电子技术：英文版》 |2017年第4期|810-816|共7页
作者
Liang Wang; Yimin Shi;
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作者单位

School of Mathematics and Statistics;

Xidian University;

Department of Applied Mathematics;

Northwestern Polytechnical University;

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原文格式 PDF
正文语种 chi
中图分类系统工程;
关键词
accelerated; life; test; maximum; likelihood; estimation; least; square; method; bootstrap; technique; asymptotic; distribution;

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Estimation for constant-stress accelerated life test from generalized half-normal distribution

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