Stochastic Generator of a New Family of Lifetime Distributions with Illustration

Bibliographic Details
Main Author: Al-Nasser, Amjad
Publication Date: 2025
Other Authors: Hanandeh, Ahmad
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://doi.org/10.57805/revstat.v23i1.469
Summary: In this article, a new family of lifetime distributions is introduced to help researchers model different types of data sets. Furthermore, the maximum likelihood method was used in estimating the model's parameters. Some structural properties of the distribution have been derived and studied. These are density function, distribution function, and reliability function, hazard rate function, moments, moment generating function, entropies, order statistics, Bonferroni and Lorenz curves. Simulation method was used to investigate the behaviors of the parameters of the proposed distribution; the results showed that the mean square error and standard error for the chosen parameter values decrease as the sample size increases. The proposed distribution was tested on real-life data, the results showed that the ET-exponential distribution performed better than other well-known distributions in modeling data. The results also showed that the distribution can be used as an alternative model in modeling lifetime processes.
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spelling Stochastic Generator of a New Family of Lifetime Distributions with Illustrationlifetime distributionmaximum Likelihoodmeans square errorparametersquantile functionIn this article, a new family of lifetime distributions is introduced to help researchers model different types of data sets. Furthermore, the maximum likelihood method was used in estimating the model's parameters. Some structural properties of the distribution have been derived and studied. These are density function, distribution function, and reliability function, hazard rate function, moments, moment generating function, entropies, order statistics, Bonferroni and Lorenz curves. Simulation method was used to investigate the behaviors of the parameters of the proposed distribution; the results showed that the mean square error and standard error for the chosen parameter values decrease as the sample size increases. The proposed distribution was tested on real-life data, the results showed that the ET-exponential distribution performed better than other well-known distributions in modeling data. The results also showed that the distribution can be used as an alternative model in modeling lifetime processes.Statistics Portugal2025-02-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.57805/revstat.v23i1.469https://doi.org/10.57805/revstat.v23i1.469REVSTAT-Statistical Journal; Vol. 23 No. 1 (2025): REVSTAT - Statistical Journal; 139-160REVSTAT; Vol. 23 N.º 1 (2025): REVSTAT - Statistical Journal; 139-1602183-03711645-6726reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAPenghttps://revstat.ine.pt/index.php/REVSTAT/article/view/469https://revstat.ine.pt/index.php/REVSTAT/article/view/469/770Copyright (c) 2025 REVSTAT-Statistical Journalinfo:eu-repo/semantics/openAccessAl-Nasser, AmjadHanandeh, Ahmad2025-02-08T06:30:26Zoai:revstat:article/469Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:46:37.017063Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Stochastic Generator of a New Family of Lifetime Distributions with Illustration
title Stochastic Generator of a New Family of Lifetime Distributions with Illustration
spellingShingle Stochastic Generator of a New Family of Lifetime Distributions with Illustration
Al-Nasser, Amjad
lifetime distribution
maximum Likelihood
means square error
parameters
quantile function
title_short Stochastic Generator of a New Family of Lifetime Distributions with Illustration
title_full Stochastic Generator of a New Family of Lifetime Distributions with Illustration
title_fullStr Stochastic Generator of a New Family of Lifetime Distributions with Illustration
title_full_unstemmed Stochastic Generator of a New Family of Lifetime Distributions with Illustration
title_sort Stochastic Generator of a New Family of Lifetime Distributions with Illustration
author Al-Nasser, Amjad
author_facet Al-Nasser, Amjad
Hanandeh, Ahmad
author_role author
author2 Hanandeh, Ahmad
author2_role author
dc.contributor.author.fl_str_mv Al-Nasser, Amjad
Hanandeh, Ahmad
dc.subject.por.fl_str_mv lifetime distribution
maximum Likelihood
means square error
parameters
quantile function
topic lifetime distribution
maximum Likelihood
means square error
parameters
quantile function
description In this article, a new family of lifetime distributions is introduced to help researchers model different types of data sets. Furthermore, the maximum likelihood method was used in estimating the model's parameters. Some structural properties of the distribution have been derived and studied. These are density function, distribution function, and reliability function, hazard rate function, moments, moment generating function, entropies, order statistics, Bonferroni and Lorenz curves. Simulation method was used to investigate the behaviors of the parameters of the proposed distribution; the results showed that the mean square error and standard error for the chosen parameter values decrease as the sample size increases. The proposed distribution was tested on real-life data, the results showed that the ET-exponential distribution performed better than other well-known distributions in modeling data. The results also showed that the distribution can be used as an alternative model in modeling lifetime processes.
publishDate 2025
dc.date.none.fl_str_mv 2025-02-05
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.57805/revstat.v23i1.469
https://doi.org/10.57805/revstat.v23i1.469
url https://doi.org/10.57805/revstat.v23i1.469
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revstat.ine.pt/index.php/REVSTAT/article/view/469
https://revstat.ine.pt/index.php/REVSTAT/article/view/469/770
dc.rights.driver.fl_str_mv Copyright (c) 2025 REVSTAT-Statistical Journal
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2025 REVSTAT-Statistical Journal
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Statistics Portugal
publisher.none.fl_str_mv Statistics Portugal
dc.source.none.fl_str_mv REVSTAT-Statistical Journal; Vol. 23 No. 1 (2025): REVSTAT - Statistical Journal; 139-160
REVSTAT; Vol. 23 N.º 1 (2025): REVSTAT - Statistical Journal; 139-160
2183-0371
1645-6726
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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