On Bivariate Exponentiated Extended Weibull Family of Distributions
| Main Author: | |
|---|---|
| Publication Date: | 2016 |
| Other Authors: | |
| Format: | Article |
| Language: | eng |
| Source: | Revista Ciência e Natura (Online) |
| Download full: | https://periodicos.ufsm.br/cienciaenatura/article/view/19496 |
Summary: | In this paper, we introduce a new class of distributions by compounding the exponentiated extended Weibull family and power series family. This distribution contains several lifetime models such as the complementary extended Weibull-power series, generalized exponential-power series, generalized linear failure rate-power series, exponentiated Weibull-power series, generalized modifiedWeibull-power series, generalized Gompertz-power series and exponentiated extendedWeibull distributions as special cases. We obtain several properties of this new class of distributions such as Shannon entropy, mean residual life, hazard rate function, quantiles and moments. The maximum likelihood estimation procedure via a EM-algorithm is presented. |
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On Bivariate Exponentiated Extended Weibull Family of DistributionsON BIVARIATE EXPONENTIATED EXTENDED WEIBULL FAMILY OF DISTRIBUTIONSBivariate exponentiated extended Weibull distribution. Joint probability density function. EM-algorithm. Maximum likelihood estimation.Bivariate exponentiated extended Weibull distribution. Joint probability density function. EM-algorithm. Maximum likelihood estimation.In this paper, we introduce a new class of distributions by compounding the exponentiated extended Weibull family and power series family. This distribution contains several lifetime models such as the complementary extended Weibull-power series, generalized exponential-power series, generalized linear failure rate-power series, exponentiated Weibull-power series, generalized modifiedWeibull-power series, generalized Gompertz-power series and exponentiated extendedWeibull distributions as special cases. We obtain several properties of this new class of distributions such as Shannon entropy, mean residual life, hazard rate function, quantiles and moments. The maximum likelihood estimation procedure via a EM-algorithm is presented.In this paper, we introduce a new class of distributions by compounding the exponentiated extended Weibull family and power series family. This distribution contains several lifetime models such as the complementary extended Weibull-power series, generalized exponential-power series, generalized linear failure rate-power series, exponentiated Weibull-power series, generalized modifiedWeibull-power series, generalized Gompertz-power series and exponentiated extendedWeibull distributions as special cases. We obtain several properties of this new class of distributions such as Shannon entropy, mean residual life, hazard rate function, quantiles and moments. The maximum likelihood estimation procedure via a EM-algorithm is presented.Universidade Federal de Santa Maria2016-05-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaenatura/article/view/1949610.5902/2179460X19496Ciência e Natura; Vol. 38 No. 2 (2016); 564-576Ciência e Natura; v. 38 n. 2 (2016); 564-5762179-460X0100-8307reponame:Revista Ciência e Natura (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMenghttps://periodicos.ufsm.br/cienciaenatura/article/view/19496/pdfCopyright (c) 2016 Ciencia & Naturainfo:eu-repo/semantics/openAccessRoozegar, RasoolJafari, Ali Akbar2018-08-17T14:49:19Zoai:ojs.pkp.sfu.ca:article/19496Revistahttps://periodicos.ufsm.br/cienciaenatura/indexPUBhttps://periodicos.ufsm.br/cienciaenatura/oaicienciaenatura@ufsm.br || centraldeperiodicos@ufsm.br2179-460X0100-8307opendoar:2018-08-17T14:49:19Revista Ciência e Natura (Online) - Universidade Federal de Santa Maria (UFSM)false |
| dc.title.none.fl_str_mv |
On Bivariate Exponentiated Extended Weibull Family of Distributions ON BIVARIATE EXPONENTIATED EXTENDED WEIBULL FAMILY OF DISTRIBUTIONS |
| title |
On Bivariate Exponentiated Extended Weibull Family of Distributions |
| spellingShingle |
On Bivariate Exponentiated Extended Weibull Family of Distributions Roozegar, Rasool Bivariate exponentiated extended Weibull distribution. Joint probability density function. EM-algorithm. Maximum likelihood estimation. Bivariate exponentiated extended Weibull distribution. Joint probability density function. EM-algorithm. Maximum likelihood estimation. |
| title_short |
On Bivariate Exponentiated Extended Weibull Family of Distributions |
| title_full |
On Bivariate Exponentiated Extended Weibull Family of Distributions |
| title_fullStr |
On Bivariate Exponentiated Extended Weibull Family of Distributions |
| title_full_unstemmed |
On Bivariate Exponentiated Extended Weibull Family of Distributions |
| title_sort |
On Bivariate Exponentiated Extended Weibull Family of Distributions |
| author |
Roozegar, Rasool |
| author_facet |
Roozegar, Rasool Jafari, Ali Akbar |
| author_role |
author |
| author2 |
Jafari, Ali Akbar |
| author2_role |
author |
| dc.contributor.author.fl_str_mv |
Roozegar, Rasool Jafari, Ali Akbar |
| dc.subject.por.fl_str_mv |
Bivariate exponentiated extended Weibull distribution. Joint probability density function. EM-algorithm. Maximum likelihood estimation. Bivariate exponentiated extended Weibull distribution. Joint probability density function. EM-algorithm. Maximum likelihood estimation. |
| topic |
Bivariate exponentiated extended Weibull distribution. Joint probability density function. EM-algorithm. Maximum likelihood estimation. Bivariate exponentiated extended Weibull distribution. Joint probability density function. EM-algorithm. Maximum likelihood estimation. |
| description |
In this paper, we introduce a new class of distributions by compounding the exponentiated extended Weibull family and power series family. This distribution contains several lifetime models such as the complementary extended Weibull-power series, generalized exponential-power series, generalized linear failure rate-power series, exponentiated Weibull-power series, generalized modifiedWeibull-power series, generalized Gompertz-power series and exponentiated extendedWeibull distributions as special cases. We obtain several properties of this new class of distributions such as Shannon entropy, mean residual life, hazard rate function, quantiles and moments. The maximum likelihood estimation procedure via a EM-algorithm is presented. |
| publishDate |
2016 |
| dc.date.none.fl_str_mv |
2016-05-31 |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
https://periodicos.ufsm.br/cienciaenatura/article/view/19496 10.5902/2179460X19496 |
| url |
https://periodicos.ufsm.br/cienciaenatura/article/view/19496 |
| identifier_str_mv |
10.5902/2179460X19496 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
https://periodicos.ufsm.br/cienciaenatura/article/view/19496/pdf |
| dc.rights.driver.fl_str_mv |
Copyright (c) 2016 Ciencia & Natura info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
Copyright (c) 2016 Ciencia & Natura |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
| publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
| dc.source.none.fl_str_mv |
Ciência e Natura; Vol. 38 No. 2 (2016); 564-576 Ciência e Natura; v. 38 n. 2 (2016); 564-576 2179-460X 0100-8307 reponame:Revista Ciência e Natura (Online) instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
| instname_str |
Universidade Federal de Santa Maria (UFSM) |
| instacron_str |
UFSM |
| institution |
UFSM |
| reponame_str |
Revista Ciência e Natura (Online) |
| collection |
Revista Ciência e Natura (Online) |
| repository.name.fl_str_mv |
Revista Ciência e Natura (Online) - Universidade Federal de Santa Maria (UFSM) |
| repository.mail.fl_str_mv |
cienciaenatura@ufsm.br || centraldeperiodicos@ufsm.br |
| _version_ |
1839277879891853312 |