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The Weibull-Gamma Distribution: Properties and Applications
A new member of the Weibull-generated (Weibull-G) family of distributions—namely the Weibull-gamma distribution—is proposed. This four-parameter distribution can provide great flexibility in modeling different data distribution shapes. Some special cases of the Weibull-gamma distribution are conside...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514927/ https://www.ncbi.nlm.nih.gov/pubmed/33267152 http://dx.doi.org/10.3390/e21050438 |
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author | Klakattawi, Hadeel S. |
author_facet | Klakattawi, Hadeel S. |
author_sort | Klakattawi, Hadeel S. |
collection | PubMed |
description | A new member of the Weibull-generated (Weibull-G) family of distributions—namely the Weibull-gamma distribution—is proposed. This four-parameter distribution can provide great flexibility in modeling different data distribution shapes. Some special cases of the Weibull-gamma distribution are considered. Several properties of the new distribution are studied. The maximum likelihood method is applied to obtain an estimation of the parameters of the Weibull-gamma distribution. The usefulness of the proposed distribution is examined by means of five applications to real datasets. |
format | Online Article Text |
id | pubmed-7514927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75149272020-11-09 The Weibull-Gamma Distribution: Properties and Applications Klakattawi, Hadeel S. Entropy (Basel) Article A new member of the Weibull-generated (Weibull-G) family of distributions—namely the Weibull-gamma distribution—is proposed. This four-parameter distribution can provide great flexibility in modeling different data distribution shapes. Some special cases of the Weibull-gamma distribution are considered. Several properties of the new distribution are studied. The maximum likelihood method is applied to obtain an estimation of the parameters of the Weibull-gamma distribution. The usefulness of the proposed distribution is examined by means of five applications to real datasets. MDPI 2019-04-26 /pmc/articles/PMC7514927/ /pubmed/33267152 http://dx.doi.org/10.3390/e21050438 Text en © 2019 by the author. 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 Klakattawi, Hadeel S. The Weibull-Gamma Distribution: Properties and Applications |
title | The Weibull-Gamma Distribution: Properties and Applications |
title_full | The Weibull-Gamma Distribution: Properties and Applications |
title_fullStr | The Weibull-Gamma Distribution: Properties and Applications |
title_full_unstemmed | The Weibull-Gamma Distribution: Properties and Applications |
title_short | The Weibull-Gamma Distribution: Properties and Applications |
title_sort | weibull-gamma distribution: properties and applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514927/ https://www.ncbi.nlm.nih.gov/pubmed/33267152 http://dx.doi.org/10.3390/e21050438 |
work_keys_str_mv | AT klakattawihadeels theweibullgammadistributionpropertiesandapplications AT klakattawihadeels weibullgammadistributionpropertiesandapplications |