RELIABILITY-ANALYSIS OF REPAIRABLE SYSTEMS FROM IN-SERVICE FAILURE COUNT DATA

被引：1
|
作者：
CALABRIA, R
GUIDA, M
PULCINI, G
机构：
[1] Department of Statistics and Reliability, Istituto Motori, Napoli, 80125
来源：
APPLIED STOCHASTIC MODELS AND DATA ANALYSIS | 1994年 / 10卷 / 03期
关键词：
NONHOMOGENEOUS POISSON PROCESS; COUNT DATA; PARAMETRIC BOOTSTRAP;
D O I：
10.1002/asm.3150100302
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
Point maximum likelihood estimators for parameters, mean number of failures, and failure rate in a nonhomogeneous Poisson process are derived, when only count data from k identical processes are available. Approximate confidence intervals based on the parametric bootstrap technique are considered. The performances of both the point and interval estimation procedures are assessed via Monte Carlo simulation.
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页码：141 / 151
页数：11
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