Bounds for the mean square error of reliability estimation from gamma distribution in presence of an outlier observation

In this paper we discuss the behavlor of the statistic R^(t) , the uniformly minimum variance unbiased (UMVU) estimate for the reliability of gamma distribution with unknown scale parameter σ when an outlier observation is present. Given the outlier effect on σ, we determine bounds for the mean and...

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Main Authors: M. E. Ghitany, W. H. Laverty
Format: Article
Language:English
Published: Wiley 1989-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Online Access:http://dx.doi.org/10.1155/S0161171289000980
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author M. E. Ghitany
W. H. Laverty
author_facet M. E. Ghitany
W. H. Laverty
author_sort M. E. Ghitany
collection DOAJ
description In this paper we discuss the behavlor of the statistic R^(t) , the uniformly minimum variance unbiased (UMVU) estimate for the reliability of gamma distribution with unknown scale parameter σ when an outlier observation is present. Given the outlier effect on σ, we determine bounds for the mean and mean square error (MSE) of R(t). A semi-Bayesian approach is discussed when the outlier effect on σ is treated as a random variable having a prior distribution of beta type. Results of the exponential distribution (Sinha [1]) are given as particular cases of our results.
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institution Kabale University
issn 0161-1712
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language English
publishDate 1989-01-01
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series International Journal of Mathematics and Mathematical Sciences
spelling doaj-art-f5fcdf74582d42498b9f765138d8af932025-02-03T06:11:39ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04251989-01-0112479780410.1155/S0161171289000980Bounds for the mean square error of reliability estimation from gamma distribution in presence of an outlier observationM. E. Ghitany0W. H. Laverty1Department of Mathematics, University of Saskatchewan, Saskatoon S7N OWO, Saskatchewan, CanadaDepartment of Mathematics, University of Saskatchewan, Saskatoon S7N OWO, Saskatchewan, CanadaIn this paper we discuss the behavlor of the statistic R^(t) , the uniformly minimum variance unbiased (UMVU) estimate for the reliability of gamma distribution with unknown scale parameter σ when an outlier observation is present. Given the outlier effect on σ, we determine bounds for the mean and mean square error (MSE) of R(t). A semi-Bayesian approach is discussed when the outlier effect on σ is treated as a random variable having a prior distribution of beta type. Results of the exponential distribution (Sinha [1]) are given as particular cases of our results.http://dx.doi.org/10.1155/S0161171289000980
spellingShingle M. E. Ghitany
W. H. Laverty
Bounds for the mean square error of reliability estimation from gamma distribution in presence of an outlier observation
International Journal of Mathematics and Mathematical Sciences
title Bounds for the mean square error of reliability estimation from gamma distribution in presence of an outlier observation
title_full Bounds for the mean square error of reliability estimation from gamma distribution in presence of an outlier observation
title_fullStr Bounds for the mean square error of reliability estimation from gamma distribution in presence of an outlier observation
title_full_unstemmed Bounds for the mean square error of reliability estimation from gamma distribution in presence of an outlier observation
title_short Bounds for the mean square error of reliability estimation from gamma distribution in presence of an outlier observation
title_sort bounds for the mean square error of reliability estimation from gamma distribution in presence of an outlier observation
url http://dx.doi.org/10.1155/S0161171289000980
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AT whlaverty boundsforthemeansquareerrorofreliabilityestimationfromgammadistributioninpresenceofanoutlierobservation