Stochastic Generator of a New Family of Lifetime Distributions with Illustration
Main Author: | |
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Publication Date: | 2025 |
Other Authors: | |
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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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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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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1833598318455816192 |