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The Topp-Leone Generalized Inverted Exponential Distribution with Real Data Applications
In this article, a new three parameters lifetime model called the Topp-Leone Generalized Inverted Exponential (TLGIE) Distribution is introduced. Various properties of the model are derived, including moments, quantile function, survival function, hazard rate function, mean deviation and mode. The m...
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/PMC7597297/ https://www.ncbi.nlm.nih.gov/pubmed/33286913 http://dx.doi.org/10.3390/e22101144 |
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author | Al-Saiary, Zakeia A. Bakoban, Rana A. |
author_facet | Al-Saiary, Zakeia A. Bakoban, Rana A. |
author_sort | Al-Saiary, Zakeia A. |
collection | PubMed |
description | In this article, a new three parameters lifetime model called the Topp-Leone Generalized Inverted Exponential (TLGIE) Distribution is introduced. Various properties of the model are derived, including moments, quantile function, survival function, hazard rate function, mean deviation and mode. The method of maximum likelihood is used to estimate the unknown parameters. The properties of the maximum likelihood estimators using Fisher information matrix are studied. Three real data sets are applied for illustrative purpose of this study. |
format | Online Article Text |
id | pubmed-7597297 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75972972020-11-09 The Topp-Leone Generalized Inverted Exponential Distribution with Real Data Applications Al-Saiary, Zakeia A. Bakoban, Rana A. Entropy (Basel) Article In this article, a new three parameters lifetime model called the Topp-Leone Generalized Inverted Exponential (TLGIE) Distribution is introduced. Various properties of the model are derived, including moments, quantile function, survival function, hazard rate function, mean deviation and mode. The method of maximum likelihood is used to estimate the unknown parameters. The properties of the maximum likelihood estimators using Fisher information matrix are studied. Three real data sets are applied for illustrative purpose of this study. MDPI 2020-10-11 /pmc/articles/PMC7597297/ /pubmed/33286913 http://dx.doi.org/10.3390/e22101144 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 Al-Saiary, Zakeia A. Bakoban, Rana A. The Topp-Leone Generalized Inverted Exponential Distribution with Real Data Applications |
title | The Topp-Leone Generalized Inverted Exponential Distribution with Real Data Applications |
title_full | The Topp-Leone Generalized Inverted Exponential Distribution with Real Data Applications |
title_fullStr | The Topp-Leone Generalized Inverted Exponential Distribution with Real Data Applications |
title_full_unstemmed | The Topp-Leone Generalized Inverted Exponential Distribution with Real Data Applications |
title_short | The Topp-Leone Generalized Inverted Exponential Distribution with Real Data Applications |
title_sort | topp-leone generalized inverted exponential distribution with real data applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597297/ https://www.ncbi.nlm.nih.gov/pubmed/33286913 http://dx.doi.org/10.3390/e22101144 |
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