Nonparametric Estimation of the Interval Reliability

The interval reliability of a repairable system is the probability that the system is operating at a specified time and will continue to operate for a specified interval of time. This quantity is especially important for equipment, which must be working when an emergency situation arises. The presen...

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Main Authors: Angel Mathew, N. Balakrishna
Format: Article
Language:English
Published: Springer 2014-12-01
Series:Journal of Statistical Theory and Applications (JSTA)
Subjects:
Online Access:https://www.atlantis-press.com/article/14758.pdf
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author Angel Mathew
N. Balakrishna
author_facet Angel Mathew
N. Balakrishna
author_sort Angel Mathew
collection DOAJ
description The interval reliability of a repairable system is the probability that the system is operating at a specified time and will continue to operate for a specified interval of time. This quantity is especially important for equipment, which must be working when an emergency situation arises. The present paper discusses the nonparametric estimation of the interval reliability when (i) the data on ‘n’ complete cycles of system operation are available, (ii) the data are subject to right censorship, and (iii) the process is observed up to a specified time ‘T’. A Simulation study is conducted to assess the performance of the estimators. The proposed method is also illustrated using a compressor failure data.
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spelling doaj.art-e494baec0c714d74be6276dc529bb6032022-12-22T02:10:22ZengSpringerJournal of Statistical Theory and Applications (JSTA)1538-78872014-12-0113410.2991/jsta.2014.13.4.8Nonparametric Estimation of the Interval ReliabilityAngel MathewN. BalakrishnaThe interval reliability of a repairable system is the probability that the system is operating at a specified time and will continue to operate for a specified interval of time. This quantity is especially important for equipment, which must be working when an emergency situation arises. The present paper discusses the nonparametric estimation of the interval reliability when (i) the data on ‘n’ complete cycles of system operation are available, (ii) the data are subject to right censorship, and (iii) the process is observed up to a specified time ‘T’. A Simulation study is conducted to assess the performance of the estimators. The proposed method is also illustrated using a compressor failure data.https://www.atlantis-press.com/article/14758.pdfAvailability; Censored data; Empirical distribution function; Product limit estimator; Renewal function
spellingShingle Angel Mathew
N. Balakrishna
Nonparametric Estimation of the Interval Reliability
Journal of Statistical Theory and Applications (JSTA)
Availability; Censored data; Empirical distribution function; Product limit estimator; Renewal function
title Nonparametric Estimation of the Interval Reliability
title_full Nonparametric Estimation of the Interval Reliability
title_fullStr Nonparametric Estimation of the Interval Reliability
title_full_unstemmed Nonparametric Estimation of the Interval Reliability
title_short Nonparametric Estimation of the Interval Reliability
title_sort nonparametric estimation of the interval reliability
topic Availability; Censored data; Empirical distribution function; Product limit estimator; Renewal function
url https://www.atlantis-press.com/article/14758.pdf
work_keys_str_mv AT angelmathew nonparametricestimationoftheintervalreliability
AT nbalakrishna nonparametricestimationoftheintervalreliability