Title : ( ANALYSING RANDOM MAINTENANCE DATA BY REPAIR ALERT MODEL FOR DISCRETE LIFETIMES )
Authors: Mohammad Atlehkhani , Mahdi Doostparast ,
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Abstract
This paper presents an examination of repair alert models for analyzing discrete lifetimes coming from maintenance programs. The study considers the negative binomial distribution for component lifetimes. Furthermore, we address the challenges associated with parameter estimation for the negative binomial distribution and compute some approximate confidence intervals for the selected distribution based on the Akaike Information Criterion. Findings are illustrated by analyzing a real dataset.
Keywords
, Maximum likelihood estimation, Random sign censoring, Repair alert model
@inproceedings{paperid:1103119,
author = {محمد آتله خانی and Doostparast, Mahdi},
title = {ANALYSING RANDOM MAINTENANCE DATA BY REPAIR ALERT MODEL FOR DISCRETE LIFETIMES},
booktitle = {The 11th Seminar on Reliability Theory and its Applications},
year = {2025},
location = {اصفهان, IRAN},
keywords = {Maximum likelihood estimation; Random sign censoring; Repair alert model},
}
%0 Conference Proceedings
%T ANALYSING RANDOM MAINTENANCE DATA BY REPAIR ALERT MODEL FOR DISCRETE LIFETIMES
%A محمد آتله خانی
%A Doostparast, Mahdi
%J The 11th Seminar on Reliability Theory and its Applications
%D 2025
