Nonhomogeneous Poisson processes as overhaul models

被引:2
作者
Dykstra, RL
ElBarmi, H
Guffey, JM
Wright, FT
机构
[1] UNIV IOWA,DEPT STAT & ACTUARIAL SCI,IOWA CITY,IA 52242
[2] KANSAS STATE UNIV,DEPT STAT,MANHATTAN,KS 66506
[3] NE MISSOURI STATE UNIV,DIV MATH & COMP SCI,KIRKSVILLE,MO 63501
[4] UNIV MISSOURI,DEPT STAT,COLUMBIA,MO 65211
来源
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE | 1996年 / 24卷 / 02期
关键词
increasing on the average; maximum-likelihood estimates; order-restricted multinomial parameters; repairable systems; star-shaped restriction;
D O I
10.2307/3315627
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Hollander and Proschan (1974) studied nonhomogeneous Poisson processes as models for systems subject to overhauls. They did not postulate a functional form for the intensity, but showed that certain basic assumptions about the deterioration of the system implied that the mean function is superadditive. They studied tests of the null hypothesis that the intensity is constant with the alternative restricted to superadditive mean functions. For estimation purposes, the class of superadditive mean functions is too broad. We assume that the intensity is nondecreasing between overhauls and that at an overhaul it does not fall below its average prior to the overhaul. These two assumptions imply that the mean function is star-shaped. We obtain the restricted maximum-likelihood estimates under these two assumptions and under the star-shaped restriction. The two estimates are compared on a data set.
引用
收藏
页码:217 / 228
页数:12
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