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Two Nonparametric Estimators of the Mean Residual Life

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Resumo:The mean residual life function L(t) can be written based on the vitality function V (t). In this article we propose two methods to estimate V (t). The two methods are based on both the kernel density estimation and the empirical function. In addition, we evaluate the mean square error of the two estimators and we study the consistency for both of them.
Autores principais:Mugdadi , Abdel-Razzaq
Outros Autores:Teweldemedhin , Amanuel
Assunto:mean residual life kernel empirical estimation mean square error bandwidth consistent
Ano:2013
País:Portugal
Tipo de documento:artigo
Tipo de acesso:unknown
Instituição associada:Instituto Nacional de Estatística
Idioma:inglês
Origem:REVSTAT-Statistical Journal
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author Mugdadi , Abdel-Razzaq
author2 Teweldemedhin , Amanuel
author2_role author
author_facet Mugdadi , Abdel-Razzaq
Teweldemedhin , Amanuel
author_role author
country_str PT
creators_json_txt [{\"Person.name\":\"Mugdadi , Abdel-Razzaq\"},{\"Person.name\":\"Teweldemedhin , Amanuel\"}]
datacite.creators.creator.creatorName.fl_str_mv Mugdadi , Abdel-Razzaq
Teweldemedhin , Amanuel
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv mean residual life
kernel
empirical
estimation
mean square error
bandwidth
consistent
datacite.titles.title.fl_str_mv Two Nonparametric Estimators of the Mean Residual Life
dc.creator.none.fl_str_mv Mugdadi , Abdel-Razzaq
Teweldemedhin , Amanuel
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://doi.org/10.57805/revstat.v11i3.139
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Statistics Portugal
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.source.none.fl_str_mv REVSTAT-Statistical Journal; Vol. 11 No. 3 (2013): REVSTAT-Statistical Journal; 301–315
REVSTAT; Vol. 11 N.º 3 (2013): REVSTAT-Statistical Journal; 301–315
2183-0371
1645-6726
dc.subject.none.fl_str_mv mean residual life
kernel
empirical
estimation
mean square error
bandwidth
consistent
dc.title.fl_str_mv Two Nonparametric Estimators of the Mean Residual Life
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description The mean residual life function L(t) can be written based on the vitality function V (t). In this article we propose two methods to estimate V (t). The two methods are based on both the kernel density estimation and the empirical function. In addition, we evaluate the mean square error of the two estimators and we study the consistency for both of them.
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identifier.doi.fl_str_mv https://doi.org/10.57805/revstat.v11i3.139
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institution Instituto Nacional de Estatística
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language eng
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oai_identifier_str oai:revstat:article/139
organization_str_mv urn:organizationAcronym:revstat-statistical journal
person_str_mv Mugdadi , Abdel-Razzaq
Teweldemedhin , Amanuel
publishDate 2013
publisher.none.fl_str_mv Statistics Portugal
repo_facet_str urn:repositoryAcronym:revstat{{{_:::_}}}REVSTAT-Statistical Journal
reponame_str REVSTAT-Statistical Journal
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spelling en-USTwo Nonparametric Estimators of the Mean Residual LifeMugdadi , Abdel-RazzaqTeweldemedhin , Amanuelmean residual lifekernelempiricalestimationmean square errorbandwidthconsistentCopyright (c) 2013 REVSTAT-Statistical Journalhttp://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by/4.0https://doi.org/10.57805/revstat.v11i3.139DOIoai:revstat:article/139OAIhttps://revstat.ine.pt/index.php/REVSTAT/article/view/139URLhttps://doi.org/10.57805/revstat.v11i3.139DOIhttps://revstat.ine.pt/index.php/REVSTAT/article/view/139/138URLHasVersion2013-11-29T00:00:00Zen-USThe mean residual life function L(t) can be written based on the vitality function V (t). In this article we propose two methods to estimate V (t). The two methods are based on both the kernel density estimation and the empirical function. In addition, we evaluate the mean square error of the two estimators and we study the consistency for both of them.Statistics Portugalapplication/pdfen-USREVSTAT-Statistical Journal; Vol. 11 No. 3 (2013): REVSTAT-Statistical Journal; 301–315pt-PTREVSTAT; Vol. 11 N.º 3 (2013): REVSTAT-Statistical Journal; 301–3152183-03711645-6726engjournal articlehttp://purl.org/coar/resource_type/c_6501literatureVoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85
spellingShingle Two Nonparametric Estimators of the Mean Residual Life
Mugdadi , Abdel-Razzaq
mean residual life
kernel
empirical
estimation
mean square error
bandwidth
consistent
status SINGLETON
status_str VoR
subject.fl_str_mv mean residual life
kernel
empirical
estimation
mean square error
bandwidth
consistent
title Two Nonparametric Estimators of the Mean Residual Life
title_full Two Nonparametric Estimators of the Mean Residual Life
title_fullStr Two Nonparametric Estimators of the Mean Residual Life
title_full_unstemmed Two Nonparametric Estimators of the Mean Residual Life
title_short Two Nonparametric Estimators of the Mean Residual Life
title_sort Two Nonparametric Estimators of the Mean Residual Life
topic mean residual life
kernel
empirical
estimation
mean square error
bandwidth
consistent
topic_facet mean residual life
kernel
empirical
estimation
mean square error
bandwidth
consistent
url https://doi.org/10.57805/revstat.v11i3.139
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