The Generalized Odd Lindley-G Family: Properties and Applications

Bibliographic Details
Main Author: AFIFY,AHMED Z.
Publication Date: 2019
Other Authors: CORDEIRO,GAUSS M., MAED,MOHAMED E., ALIZADEH,MORAD, AL-MOFLEH,HAZEM, NOFAL,ZOHDY M.
Format: Article
Language: eng
Source: Anais da Academia Brasileira de Ciências (Online)
Download full: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000500201
Summary: Abstract: We introduce a new class of continuous distributions called the generalized odd Lindley-G family. Four special models of the new family are provided. Some explicit expressions for the quantile and generating functions, ordinary and incomplete moments, order statistics and Rényi and Shannon entropies are derived. The maximum likelihood method is used for estimating the model parameters. The flexibility of the generated family is illustrated by means of two applications to real data sets.
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spelling The Generalized Odd Lindley-G Family: Properties and Applicationsgenerating functionlindley distributionmaximum likelihoodorder statisticT-X familyAbstract: We introduce a new class of continuous distributions called the generalized odd Lindley-G family. Four special models of the new family are provided. Some explicit expressions for the quantile and generating functions, ordinary and incomplete moments, order statistics and Rényi and Shannon entropies are derived. The maximum likelihood method is used for estimating the model parameters. The flexibility of the generated family is illustrated by means of two applications to real data sets.Academia Brasileira de Ciências2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000500201Anais da Academia Brasileira de Ciências v.91 n.3 2019reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765201920180040info:eu-repo/semantics/openAccessAFIFY,AHMED Z.CORDEIRO,GAUSS M.MAED,MOHAMED E.ALIZADEH,MORADAL-MOFLEH,HAZEMNOFAL,ZOHDY M.eng2020-08-21T00:00:00Zoai:scielo:S0001-37652019000500201Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2020-08-21T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv The Generalized Odd Lindley-G Family: Properties and Applications
title The Generalized Odd Lindley-G Family: Properties and Applications
spellingShingle The Generalized Odd Lindley-G Family: Properties and Applications
AFIFY,AHMED Z.
generating function
lindley distribution
maximum likelihood
order statistic
T-X family
title_short The Generalized Odd Lindley-G Family: Properties and Applications
title_full The Generalized Odd Lindley-G Family: Properties and Applications
title_fullStr The Generalized Odd Lindley-G Family: Properties and Applications
title_full_unstemmed The Generalized Odd Lindley-G Family: Properties and Applications
title_sort The Generalized Odd Lindley-G Family: Properties and Applications
author AFIFY,AHMED Z.
author_facet AFIFY,AHMED Z.
CORDEIRO,GAUSS M.
MAED,MOHAMED E.
ALIZADEH,MORAD
AL-MOFLEH,HAZEM
NOFAL,ZOHDY M.
author_role author
author2 CORDEIRO,GAUSS M.
MAED,MOHAMED E.
ALIZADEH,MORAD
AL-MOFLEH,HAZEM
NOFAL,ZOHDY M.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv AFIFY,AHMED Z.
CORDEIRO,GAUSS M.
MAED,MOHAMED E.
ALIZADEH,MORAD
AL-MOFLEH,HAZEM
NOFAL,ZOHDY M.
dc.subject.por.fl_str_mv generating function
lindley distribution
maximum likelihood
order statistic
T-X family
topic generating function
lindley distribution
maximum likelihood
order statistic
T-X family
description Abstract: We introduce a new class of continuous distributions called the generalized odd Lindley-G family. Four special models of the new family are provided. Some explicit expressions for the quantile and generating functions, ordinary and incomplete moments, order statistics and Rényi and Shannon entropies are derived. The maximum likelihood method is used for estimating the model parameters. The flexibility of the generated family is illustrated by means of two applications to real data sets.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
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=S0001-37652019000500201
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000500201
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765201920180040
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.91 n.3 2019
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
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