A new class of distributions as a finite functional mixture using functional weights
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anais da Academia Brasileira de Ciências (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000300301 |
Resumo: | Abstract In this paper, we introduce a new family of distributions whose probability density function is defined as a weighted sum of two probability density functions; one is defined as a warped version of the other. We focus our attention on a special case based on the exponential distribution with three parameters, a dilation transformation and a weight with polynomial decay, leading to a new life-time distribution. The explicit expressions of the moments generating function, moments and quantile function of the proposed distribution are provided. For estimating the parameters, the method of maximum likelihood estimation is used. Two applications with practical data sets are given. |
id |
ABC-1_ec7a924bce3b2fbbe55383661577c52f |
---|---|
oai_identifier_str |
oai:scielo:S0001-37652021000300301 |
network_acronym_str |
ABC-1 |
network_name_str |
Anais da Academia Brasileira de Ciências (Online) |
repository_id_str |
|
spelling |
A new class of distributions as a finite functional mixture using functional weightsfinite mixtureweighted distributionexponential distributionmoment generating functionmaximum likelihood estimationAbstract In this paper, we introduce a new family of distributions whose probability density function is defined as a weighted sum of two probability density functions; one is defined as a warped version of the other. We focus our attention on a special case based on the exponential distribution with three parameters, a dilation transformation and a weight with polynomial decay, leading to a new life-time distribution. The explicit expressions of the moments generating function, moments and quantile function of the proposed distribution are provided. For estimating the parameters, the method of maximum likelihood estimation is used. Two applications with practical data sets are given.Academia Brasileira de Ciências2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000300301Anais da Academia Brasileira de Ciências v.93 n.2 2021reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202120181019info:eu-repo/semantics/openAccessBOUALI,DALAL LALACHESNEAU,CHRISTOPHESHARMA,VIKAS KUMARBAKOUCH,HASSAN S.eng2021-06-25T00:00:00Zoai:scielo:S0001-37652021000300301Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2021-06-25T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false |
dc.title.none.fl_str_mv |
A new class of distributions as a finite functional mixture using functional weights |
title |
A new class of distributions as a finite functional mixture using functional weights |
spellingShingle |
A new class of distributions as a finite functional mixture using functional weights BOUALI,DALAL LALA finite mixture weighted distribution exponential distribution moment generating function maximum likelihood estimation |
title_short |
A new class of distributions as a finite functional mixture using functional weights |
title_full |
A new class of distributions as a finite functional mixture using functional weights |
title_fullStr |
A new class of distributions as a finite functional mixture using functional weights |
title_full_unstemmed |
A new class of distributions as a finite functional mixture using functional weights |
title_sort |
A new class of distributions as a finite functional mixture using functional weights |
author |
BOUALI,DALAL LALA |
author_facet |
BOUALI,DALAL LALA CHESNEAU,CHRISTOPHE SHARMA,VIKAS KUMAR BAKOUCH,HASSAN S. |
author_role |
author |
author2 |
CHESNEAU,CHRISTOPHE SHARMA,VIKAS KUMAR BAKOUCH,HASSAN S. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
BOUALI,DALAL LALA CHESNEAU,CHRISTOPHE SHARMA,VIKAS KUMAR BAKOUCH,HASSAN S. |
dc.subject.por.fl_str_mv |
finite mixture weighted distribution exponential distribution moment generating function maximum likelihood estimation |
topic |
finite mixture weighted distribution exponential distribution moment generating function maximum likelihood estimation |
description |
Abstract In this paper, we introduce a new family of distributions whose probability density function is defined as a weighted sum of two probability density functions; one is defined as a warped version of the other. We focus our attention on a special case based on the exponential distribution with three parameters, a dilation transformation and a weight with polynomial decay, leading to a new life-time distribution. The explicit expressions of the moments generating function, moments and quantile function of the proposed distribution are provided. For estimating the parameters, the method of maximum likelihood estimation is used. Two applications with practical data sets are given. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
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=S0001-37652021000300301 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000300301 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0001-3765202120181019 |
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.93 n.2 2021 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_ |
1754302870035890176 |