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Performance rating of the transmuted exponential distribution: an analytical approach
In this article, the so called Transmuted Exponential (TE) distribution was applied to two real life datasets to assess its potential flexibility over some other generalized models. Various statistical properties of the TE distribution were also identified while the method of maximum likelihood esti...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690830/ https://www.ncbi.nlm.nih.gov/pubmed/26722638 http://dx.doi.org/10.1186/s40064-015-1590-6 |
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author | Owoloko, Enahoro A. Oguntunde, Pelumi E. Adejumo, Adebowale O. |
author_facet | Owoloko, Enahoro A. Oguntunde, Pelumi E. Adejumo, Adebowale O. |
author_sort | Owoloko, Enahoro A. |
collection | PubMed |
description | In this article, the so called Transmuted Exponential (TE) distribution was applied to two real life datasets to assess its potential flexibility over some other generalized models. Various statistical properties of the TE distribution were also identified while the method of maximum likelihood estimation was used to estimate the model parameters. |
format | Online Article Text |
id | pubmed-4690830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-46908302015-12-31 Performance rating of the transmuted exponential distribution: an analytical approach Owoloko, Enahoro A. Oguntunde, Pelumi E. Adejumo, Adebowale O. Springerplus Research In this article, the so called Transmuted Exponential (TE) distribution was applied to two real life datasets to assess its potential flexibility over some other generalized models. Various statistical properties of the TE distribution were also identified while the method of maximum likelihood estimation was used to estimate the model parameters. Springer International Publishing 2015-12-24 /pmc/articles/PMC4690830/ /pubmed/26722638 http://dx.doi.org/10.1186/s40064-015-1590-6 Text en © Owoloko et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Owoloko, Enahoro A. Oguntunde, Pelumi E. Adejumo, Adebowale O. Performance rating of the transmuted exponential distribution: an analytical approach |
title | Performance rating of the transmuted exponential distribution: an analytical approach |
title_full | Performance rating of the transmuted exponential distribution: an analytical approach |
title_fullStr | Performance rating of the transmuted exponential distribution: an analytical approach |
title_full_unstemmed | Performance rating of the transmuted exponential distribution: an analytical approach |
title_short | Performance rating of the transmuted exponential distribution: an analytical approach |
title_sort | performance rating of the transmuted exponential distribution: an analytical approach |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690830/ https://www.ncbi.nlm.nih.gov/pubmed/26722638 http://dx.doi.org/10.1186/s40064-015-1590-6 |
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