Statistical analysis of a power-law model for repair data

被引：7

作者：

Park, WJ

Pickering, EH

机构：

[1] Dept. of Mathematics and Statistics, Wright State Univ, Dayton

[2] Oakdale, CO 06370

来源：

IEEE TRANSACTIONS ON RELIABILITY | 1997年 / 46卷 / 01期

关键词：

power-law process; maximum likelihood estimation; confidence interval; mean time between failures;

D O I：

10.1109/24.589922

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The power-law process is an alternative model to the homogeneous Poisson process for analyzing repair data. When many nominally-identical systems are in service, the repair data for all systems can be used to assess the aptness of the power-law model. To test the hypothesis of a homogeneous Poisson process vs the power-law process, the maximum likelihood estimates of the power-law process parameters are used. A table of the critical values for the estimates is given, along with an example of their use.

引用

页码：27 / 30

页数：4

共 7 条

[1]

Ascher H., 1984, REPAIRABLE SYSTEMS R

[2] INFERENCES ON THE PARAMETERS AND CURRENT SYSTEM RELIABILITY FOR A TIME TRUNCATED WEIBULL PROCESS [J].