The Lindley Weibull Distribution: properties and applications
Main Author: | |
---|---|
Publication Date: | 2018 |
Other Authors: | , , , |
Format: | Article |
Language: | eng |
Source: | Anais da Academia Brasileira de Ciências (Online) |
Download full: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000602579 |
Summary: | Abstract We introduce a new three-parameter lifetime model called the Lindley Weibull distribution, which accommodates unimodal and bathtub, and a broad variety of monotone failure rates. We provide a comprehensive account of some of its mathematical properties including ordinary and incomplete moments, quantile and generating functions and order statistics. The new density function can be expressed as a linear combination of exponentiated Weibull densities. The maximum likelihood method is used to estimate the model parameters. We present simulation results to assess the performance of the maximum likelihood estimation. We prove empirically the importance and flexibility of the new distribution in modeling two data sets. |
id |
ABC-1_525de9e087ee620d698f4b4758eae00a |
---|---|
oai_identifier_str |
oai:scielo:S0001-37652018000602579 |
network_acronym_str |
ABC-1 |
network_name_str |
Anais da Academia Brasileira de Ciências (Online) |
repository_id_str |
|
spelling |
The Lindley Weibull Distribution: properties and applicationsLindley G-Familymaximum likelihoodmomentsorder statisticsAbstract We introduce a new three-parameter lifetime model called the Lindley Weibull distribution, which accommodates unimodal and bathtub, and a broad variety of monotone failure rates. We provide a comprehensive account of some of its mathematical properties including ordinary and incomplete moments, quantile and generating functions and order statistics. The new density function can be expressed as a linear combination of exponentiated Weibull densities. The maximum likelihood method is used to estimate the model parameters. We present simulation results to assess the performance of the maximum likelihood estimation. We prove empirically the importance and flexibility of the new distribution in modeling two data sets.Academia Brasileira de Ciências2018-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000602579Anais da Academia Brasileira de Ciências v.90 n.3 2018reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765201820170635info:eu-repo/semantics/openAccessCORDEIRO,GAUSS M.AFIFY,AHMED Z.YOUSOF,HAITHAM M.CAKMAKYAPAN,SELENOZEL,GAMZEeng2019-11-29T00:00:00Zoai:scielo:S0001-37652018000602579Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2019-11-29T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false |
dc.title.none.fl_str_mv |
The Lindley Weibull Distribution: properties and applications |
title |
The Lindley Weibull Distribution: properties and applications |
spellingShingle |
The Lindley Weibull Distribution: properties and applications CORDEIRO,GAUSS M. Lindley G-Family maximum likelihood moments order statistics |
title_short |
The Lindley Weibull Distribution: properties and applications |
title_full |
The Lindley Weibull Distribution: properties and applications |
title_fullStr |
The Lindley Weibull Distribution: properties and applications |
title_full_unstemmed |
The Lindley Weibull Distribution: properties and applications |
title_sort |
The Lindley Weibull Distribution: properties and applications |
author |
CORDEIRO,GAUSS M. |
author_facet |
CORDEIRO,GAUSS M. AFIFY,AHMED Z. YOUSOF,HAITHAM M. CAKMAKYAPAN,SELEN OZEL,GAMZE |
author_role |
author |
author2 |
AFIFY,AHMED Z. YOUSOF,HAITHAM M. CAKMAKYAPAN,SELEN OZEL,GAMZE |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
CORDEIRO,GAUSS M. AFIFY,AHMED Z. YOUSOF,HAITHAM M. CAKMAKYAPAN,SELEN OZEL,GAMZE |
dc.subject.por.fl_str_mv |
Lindley G-Family maximum likelihood moments order statistics |
topic |
Lindley G-Family maximum likelihood moments order statistics |
description |
Abstract We introduce a new three-parameter lifetime model called the Lindley Weibull distribution, which accommodates unimodal and bathtub, and a broad variety of monotone failure rates. We provide a comprehensive account of some of its mathematical properties including ordinary and incomplete moments, quantile and generating functions and order statistics. The new density function can be expressed as a linear combination of exponentiated Weibull densities. The maximum likelihood method is used to estimate the model parameters. We present simulation results to assess the performance of the maximum likelihood estimation. We prove empirically the importance and flexibility of the new distribution in modeling two data sets. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000602579 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000602579 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0001-3765201820170635 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
dc.source.none.fl_str_mv |
Anais da Academia Brasileira de Ciências v.90 n.3 2018 reponame:Anais da Academia Brasileira de Ciências (Online) instname:Academia Brasileira de Ciências (ABC) instacron:ABC |
instname_str |
Academia Brasileira de Ciências (ABC) |
instacron_str |
ABC |
institution |
ABC |
reponame_str |
Anais da Academia Brasileira de Ciências (Online) |
collection |
Anais da Academia Brasileira de Ciências (Online) |
repository.name.fl_str_mv |
Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC) |
repository.mail.fl_str_mv |
||aabc@abc.org.br |
_version_ |
1754302866012504064 |