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The Exponentiated Lindley Geometric Distribution with Applications
We introduce a new three-parameter lifetime distribution, the exponentiated Lindley geometric distribution, which exhibits increasing, decreasing, unimodal, and bathtub shaped hazard rates. We provide statistical properties of the new distribution, including shape of the probability density function...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514999/ https://www.ncbi.nlm.nih.gov/pubmed/33267224 http://dx.doi.org/10.3390/e21050510 |
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author | Peng, Bo Xu, Zhengqiu Wang, Min |
author_facet | Peng, Bo Xu, Zhengqiu Wang, Min |
author_sort | Peng, Bo |
collection | PubMed |
description | We introduce a new three-parameter lifetime distribution, the exponentiated Lindley geometric distribution, which exhibits increasing, decreasing, unimodal, and bathtub shaped hazard rates. We provide statistical properties of the new distribution, including shape of the probability density function, hazard rate function, quantile function, order statistics, moments, residual life function, mean deviations, Bonferroni and Lorenz curves, and entropies. We use maximum likelihood estimation of the unknown parameters, and an Expectation-Maximization algorithm is also developed to find the maximum likelihood estimates. The Fisher information matrix is provided to construct the asymptotic confidence intervals. Finally, two real-data examples are analyzed for illustrative purposes. |
format | Online Article Text |
id | pubmed-7514999 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75149992020-11-09 The Exponentiated Lindley Geometric Distribution with Applications Peng, Bo Xu, Zhengqiu Wang, Min Entropy (Basel) Article We introduce a new three-parameter lifetime distribution, the exponentiated Lindley geometric distribution, which exhibits increasing, decreasing, unimodal, and bathtub shaped hazard rates. We provide statistical properties of the new distribution, including shape of the probability density function, hazard rate function, quantile function, order statistics, moments, residual life function, mean deviations, Bonferroni and Lorenz curves, and entropies. We use maximum likelihood estimation of the unknown parameters, and an Expectation-Maximization algorithm is also developed to find the maximum likelihood estimates. The Fisher information matrix is provided to construct the asymptotic confidence intervals. Finally, two real-data examples are analyzed for illustrative purposes. MDPI 2019-05-20 /pmc/articles/PMC7514999/ /pubmed/33267224 http://dx.doi.org/10.3390/e21050510 Text en © 2019 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 Peng, Bo Xu, Zhengqiu Wang, Min The Exponentiated Lindley Geometric Distribution with Applications |
title | The Exponentiated Lindley Geometric Distribution with Applications |
title_full | The Exponentiated Lindley Geometric Distribution with Applications |
title_fullStr | The Exponentiated Lindley Geometric Distribution with Applications |
title_full_unstemmed | The Exponentiated Lindley Geometric Distribution with Applications |
title_short | The Exponentiated Lindley Geometric Distribution with Applications |
title_sort | exponentiated lindley geometric distribution with applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514999/ https://www.ncbi.nlm.nih.gov/pubmed/33267224 http://dx.doi.org/10.3390/e21050510 |
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