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New Bivariate Pareto Type II Models
Pareto type II distribution has been studied from many statisticians due to its important role in reliability modelling and lifetime testing. In this article, we introduce two bivariate Pareto Type II distributions; one is derived from copula and the other is based on mixture and copula. Parameter E...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514964/ https://www.ncbi.nlm.nih.gov/pubmed/33267187 http://dx.doi.org/10.3390/e21050473 |
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author | Baharith, Lamya Alzahrani, Hind |
author_facet | Baharith, Lamya Alzahrani, Hind |
author_sort | Baharith, Lamya |
collection | PubMed |
description | Pareto type II distribution has been studied from many statisticians due to its important role in reliability modelling and lifetime testing. In this article, we introduce two bivariate Pareto Type II distributions; one is derived from copula and the other is based on mixture and copula. Parameter Estimates of the proposed distribution are obtained using the maximum likelihood method. The performance of the proposed bivariate distributions is examined using a simulation study. Finally, we analyze one data set under the proposed distributions to illustrate their flexibility for real-life applications. |
format | Online Article Text |
id | pubmed-7514964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75149642020-11-09 New Bivariate Pareto Type II Models Baharith, Lamya Alzahrani, Hind Entropy (Basel) Article Pareto type II distribution has been studied from many statisticians due to its important role in reliability modelling and lifetime testing. In this article, we introduce two bivariate Pareto Type II distributions; one is derived from copula and the other is based on mixture and copula. Parameter Estimates of the proposed distribution are obtained using the maximum likelihood method. The performance of the proposed bivariate distributions is examined using a simulation study. Finally, we analyze one data set under the proposed distributions to illustrate their flexibility for real-life applications. MDPI 2019-05-06 /pmc/articles/PMC7514964/ /pubmed/33267187 http://dx.doi.org/10.3390/e21050473 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Baharith, Lamya Alzahrani, Hind New Bivariate Pareto Type II Models |
title | New Bivariate Pareto Type II Models |
title_full | New Bivariate Pareto Type II Models |
title_fullStr | New Bivariate Pareto Type II Models |
title_full_unstemmed | New Bivariate Pareto Type II Models |
title_short | New Bivariate Pareto Type II Models |
title_sort | new bivariate pareto type ii models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514964/ https://www.ncbi.nlm.nih.gov/pubmed/33267187 http://dx.doi.org/10.3390/e21050473 |
work_keys_str_mv | AT baharithlamya newbivariateparetotypeiimodels AT alzahranihind newbivariateparetotypeiimodels |