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A novel family of lifetime distribution with applications to real and simulated data
The paper investigates a new scheme for generating lifetime probability distributions. The scheme is called Exponential- H family of distribution. The paper presents an application of this family by using the Weibull distribution, the new distribution is then called New Flexible Exponential distribu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529267/ https://www.ncbi.nlm.nih.gov/pubmed/33002015 http://dx.doi.org/10.1371/journal.pone.0238746 |
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author | Ijaz, Muhammad Mashwani, Wali Khan Belhaouari, Samir Brahim |
author_facet | Ijaz, Muhammad Mashwani, Wali Khan Belhaouari, Samir Brahim |
author_sort | Ijaz, Muhammad |
collection | PubMed |
description | The paper investigates a new scheme for generating lifetime probability distributions. The scheme is called Exponential- H family of distribution. The paper presents an application of this family by using the Weibull distribution, the new distribution is then called New Flexible Exponential distribution or in short NFE. Various statistical properties are derived, such as quantile function, order statistics, moments, etc. Two real-life data sets and a simulation study have been performed so that to assure the flexibility of the proposed model. It has been declared that the proposed distribution offers nice results than Exponential, Weibull Exponential, and Exponentiated Exponential distribution. |
format | Online Article Text |
id | pubmed-7529267 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75292672020-10-02 A novel family of lifetime distribution with applications to real and simulated data Ijaz, Muhammad Mashwani, Wali Khan Belhaouari, Samir Brahim PLoS One Research Article The paper investigates a new scheme for generating lifetime probability distributions. The scheme is called Exponential- H family of distribution. The paper presents an application of this family by using the Weibull distribution, the new distribution is then called New Flexible Exponential distribution or in short NFE. Various statistical properties are derived, such as quantile function, order statistics, moments, etc. Two real-life data sets and a simulation study have been performed so that to assure the flexibility of the proposed model. It has been declared that the proposed distribution offers nice results than Exponential, Weibull Exponential, and Exponentiated Exponential distribution. Public Library of Science 2020-10-01 /pmc/articles/PMC7529267/ /pubmed/33002015 http://dx.doi.org/10.1371/journal.pone.0238746 Text en © 2020 Ijaz et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Ijaz, Muhammad Mashwani, Wali Khan Belhaouari, Samir Brahim A novel family of lifetime distribution with applications to real and simulated data |
title | A novel family of lifetime distribution with applications to real and simulated data |
title_full | A novel family of lifetime distribution with applications to real and simulated data |
title_fullStr | A novel family of lifetime distribution with applications to real and simulated data |
title_full_unstemmed | A novel family of lifetime distribution with applications to real and simulated data |
title_short | A novel family of lifetime distribution with applications to real and simulated data |
title_sort | novel family of lifetime distribution with applications to real and simulated data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529267/ https://www.ncbi.nlm.nih.gov/pubmed/33002015 http://dx.doi.org/10.1371/journal.pone.0238746 |
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