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The Odds Exponential-Pareto IV Distribution: Regression Model and Application
This article introduces the odds exponential-Pareto IV distribution, which belongs to the odds family of distributions. We studied the statistical properties of this new distribution. The odds exponential-Pareto IV distribution provided decreasing, increasing, and upside-down hazard functions. We em...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516982/ https://www.ncbi.nlm.nih.gov/pubmed/33286270 http://dx.doi.org/10.3390/e22050497 |
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author | Baharith, Lamya A. AL-Beladi, Kholod M. Klakattawi, Hadeel S. |
author_facet | Baharith, Lamya A. AL-Beladi, Kholod M. Klakattawi, Hadeel S. |
author_sort | Baharith, Lamya A. |
collection | PubMed |
description | This article introduces the odds exponential-Pareto IV distribution, which belongs to the odds family of distributions. We studied the statistical properties of this new distribution. The odds exponential-Pareto IV distribution provided decreasing, increasing, and upside-down hazard functions. We employed the maximum likelihood method to estimate the distribution parameters. The estimators performance was assessed by conducting simulation studies. A new log location-scale regression model based on the odds exponential-Pareto IV distribution was also introduced. Parameter estimates of the proposed model were obtained using both maximum likelihood and jackknife methods for right-censored data. Real data sets were analyzed under the odds exponential-Pareto IV distribution and log odds exponential-Pareto IV regression model to show their flexibility and potentiality. |
format | Online Article Text |
id | pubmed-7516982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75169822020-11-09 The Odds Exponential-Pareto IV Distribution: Regression Model and Application Baharith, Lamya A. AL-Beladi, Kholod M. Klakattawi, Hadeel S. Entropy (Basel) Article This article introduces the odds exponential-Pareto IV distribution, which belongs to the odds family of distributions. We studied the statistical properties of this new distribution. The odds exponential-Pareto IV distribution provided decreasing, increasing, and upside-down hazard functions. We employed the maximum likelihood method to estimate the distribution parameters. The estimators performance was assessed by conducting simulation studies. A new log location-scale regression model based on the odds exponential-Pareto IV distribution was also introduced. Parameter estimates of the proposed model were obtained using both maximum likelihood and jackknife methods for right-censored data. Real data sets were analyzed under the odds exponential-Pareto IV distribution and log odds exponential-Pareto IV regression model to show their flexibility and potentiality. MDPI 2020-04-25 /pmc/articles/PMC7516982/ /pubmed/33286270 http://dx.doi.org/10.3390/e22050497 Text en © 2020 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 A. AL-Beladi, Kholod M. Klakattawi, Hadeel S. The Odds Exponential-Pareto IV Distribution: Regression Model and Application |
title | The Odds Exponential-Pareto IV Distribution: Regression Model and Application |
title_full | The Odds Exponential-Pareto IV Distribution: Regression Model and Application |
title_fullStr | The Odds Exponential-Pareto IV Distribution: Regression Model and Application |
title_full_unstemmed | The Odds Exponential-Pareto IV Distribution: Regression Model and Application |
title_short | The Odds Exponential-Pareto IV Distribution: Regression Model and Application |
title_sort | odds exponential-pareto iv distribution: regression model and application |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516982/ https://www.ncbi.nlm.nih.gov/pubmed/33286270 http://dx.doi.org/10.3390/e22050497 |
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