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The Marshall-Olkin Gumbel-Lomax distribution: properties and applications
We introduce a new flexible five parameter lifetime distribution called Marshall-Olkin Gumbel-Lomax distribution. Some characterizations of the distribution such as the quantile function, moments, Trimmed L-moments, moment generating function, and order statistics are derived. The unknown parameters...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075998/ https://www.ncbi.nlm.nih.gov/pubmed/32195394 http://dx.doi.org/10.1016/j.heliyon.2020.e03569 |
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author | Nwezza, Elebe Emmanuel Ugwuowo, Fidelis Ifeanyi |
author_facet | Nwezza, Elebe Emmanuel Ugwuowo, Fidelis Ifeanyi |
author_sort | Nwezza, Elebe Emmanuel |
collection | PubMed |
description | We introduce a new flexible five parameter lifetime distribution called Marshall-Olkin Gumbel-Lomax distribution. Some characterizations of the distribution such as the quantile function, moments, Trimmed L-moments, moment generating function, and order statistics are derived. The unknown parameters of the new distribution are estimated using the maximum likelihood approach. And the performance of the MLEs is examined through simulation studies. The potentials of the new distribution are illustrated using two real life data sets. |
format | Online Article Text |
id | pubmed-7075998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-70759982020-03-19 The Marshall-Olkin Gumbel-Lomax distribution: properties and applications Nwezza, Elebe Emmanuel Ugwuowo, Fidelis Ifeanyi Heliyon Article We introduce a new flexible five parameter lifetime distribution called Marshall-Olkin Gumbel-Lomax distribution. Some characterizations of the distribution such as the quantile function, moments, Trimmed L-moments, moment generating function, and order statistics are derived. The unknown parameters of the new distribution are estimated using the maximum likelihood approach. And the performance of the MLEs is examined through simulation studies. The potentials of the new distribution are illustrated using two real life data sets. Elsevier 2020-03-13 /pmc/articles/PMC7075998/ /pubmed/32195394 http://dx.doi.org/10.1016/j.heliyon.2020.e03569 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Nwezza, Elebe Emmanuel Ugwuowo, Fidelis Ifeanyi The Marshall-Olkin Gumbel-Lomax distribution: properties and applications |
title | The Marshall-Olkin Gumbel-Lomax distribution: properties and applications |
title_full | The Marshall-Olkin Gumbel-Lomax distribution: properties and applications |
title_fullStr | The Marshall-Olkin Gumbel-Lomax distribution: properties and applications |
title_full_unstemmed | The Marshall-Olkin Gumbel-Lomax distribution: properties and applications |
title_short | The Marshall-Olkin Gumbel-Lomax distribution: properties and applications |
title_sort | marshall-olkin gumbel-lomax distribution: properties and applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075998/ https://www.ncbi.nlm.nih.gov/pubmed/32195394 http://dx.doi.org/10.1016/j.heliyon.2020.e03569 |
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