Inferences for Generalized Pareto Distribution Based on Progressive First-Failure Censoring Scheme

In this article, we consider estimation of the parameters of a generalized Pareto distribution and some lifetime indices such as those relating to reliability and hazard rate functions when the failure data are progressive first-failure censored. Both classical and Bayesian techniques are obtained....

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Main Authors: Rashad M. El-Sagheer, Taghreed M. Jawa, Neveen Sayed-Ahmed
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/9325928
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author Rashad M. El-Sagheer
Taghreed M. Jawa
Neveen Sayed-Ahmed
author_facet Rashad M. El-Sagheer
Taghreed M. Jawa
Neveen Sayed-Ahmed
author_sort Rashad M. El-Sagheer
collection DOAJ
description In this article, we consider estimation of the parameters of a generalized Pareto distribution and some lifetime indices such as those relating to reliability and hazard rate functions when the failure data are progressive first-failure censored. Both classical and Bayesian techniques are obtained. In the Bayesian framework, the point estimations of unknown parameters under both symmetric and asymmetric loss functions are discussed, after having been estimated using the conjugate gamma and discrete priors for the shape and scale parameters, respectively. In addition, both exact and approximate confidence intervals as well as the exact confidence region for the estimators are constructed. A practical example using a simulated data set is analyzed. Finally, the performance of Bayes estimates is compared with that of maximum likelihood estimates through a Monte Carlo simulation study.
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institution Kabale University
issn 1099-0526
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-829312d4d6184a60ba0f81f198d4db842025-02-03T01:26:53ZengWileyComplexity1099-05262021-01-01202110.1155/2021/9325928Inferences for Generalized Pareto Distribution Based on Progressive First-Failure Censoring SchemeRashad M. El-Sagheer0Taghreed M. Jawa1Neveen Sayed-Ahmed2Mathematics DepartmentDepartment of Mathematics and StatisticsDepartment of Mathematics and StatisticsIn this article, we consider estimation of the parameters of a generalized Pareto distribution and some lifetime indices such as those relating to reliability and hazard rate functions when the failure data are progressive first-failure censored. Both classical and Bayesian techniques are obtained. In the Bayesian framework, the point estimations of unknown parameters under both symmetric and asymmetric loss functions are discussed, after having been estimated using the conjugate gamma and discrete priors for the shape and scale parameters, respectively. In addition, both exact and approximate confidence intervals as well as the exact confidence region for the estimators are constructed. A practical example using a simulated data set is analyzed. Finally, the performance of Bayes estimates is compared with that of maximum likelihood estimates through a Monte Carlo simulation study.http://dx.doi.org/10.1155/2021/9325928
spellingShingle Rashad M. El-Sagheer
Taghreed M. Jawa
Neveen Sayed-Ahmed
Inferences for Generalized Pareto Distribution Based on Progressive First-Failure Censoring Scheme
Complexity
title Inferences for Generalized Pareto Distribution Based on Progressive First-Failure Censoring Scheme
title_full Inferences for Generalized Pareto Distribution Based on Progressive First-Failure Censoring Scheme
title_fullStr Inferences for Generalized Pareto Distribution Based on Progressive First-Failure Censoring Scheme
title_full_unstemmed Inferences for Generalized Pareto Distribution Based on Progressive First-Failure Censoring Scheme
title_short Inferences for Generalized Pareto Distribution Based on Progressive First-Failure Censoring Scheme
title_sort inferences for generalized pareto distribution based on progressive first failure censoring scheme
url http://dx.doi.org/10.1155/2021/9325928
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