Journal of Statistical Computation and Simulation, ( ISI ), Volume (86), No (7), Year (2016-7) , Pages (1415-1429)

Title : ( Inference under random maintenance policies with a polynomial form as the repair alert function )

Authors: mohammad atlehkhani , Mahdi Doostparast ,

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This paper deals with random sign censoring data (RSCD) which may be observed under repair alert models (RAMs) for implementing age-dependent maintenance policies on engineer- ing devices. A general family for lifetime distributions of devices is considered and estimates of parameters are derived on the basis of RSCD via the likelihood and the Bayesian approaches. In recent literature, the cumulative repair alert function (CRAF), denoted by G(t), of the RAMs is considered proportional to the cumulative hazard rate function (CHRF) of the de- vice lifetime. This paper also suggests a polynomial form for the CRAF G(t) for modelling purposed. A comparison between the two kinds of CRAFs under the RAMs is given for a real data set from Mendenhall and Hader [13]. The data are times to failure for a type of com- munication transmitter-receivers of a single commercial airline. Some special cases including exponential, Weibull and Pareto distributions are studied in a great detail.

Keywords

Estimation; Lifetimes; Preventive maintenance; Random Sign Censoring; Repair Alert
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@article{paperid:1048402,
author = {Atlehkhani, Mohammad and Doostparast, Mahdi},
title = {Inference under random maintenance policies with a polynomial form as the repair alert function},
journal = {Journal of Statistical Computation and Simulation},
year = {2016},
volume = {86},
number = {7},
month = {July},
issn = {0094-9655},
pages = {1415--1429},
numpages = {14},
keywords = {Estimation; Lifetimes; Preventive maintenance; Random Sign Censoring; Repair Alert Models;},
}

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%0 Journal Article
%T Inference under random maintenance policies with a polynomial form as the repair alert function
%A Atlehkhani, Mohammad
%A Doostparast, Mahdi
%J Journal of Statistical Computation and Simulation
%@ 0094-9655
%D 2016

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