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Weighted Lomax distribution

The Lomax distribution (Pareto Type-II) is widely applicable in reliability and life testing problems in engineering as well as in survival analysis as an alternative distribution. In this paper, Weighted Lomax distribution is proposed and studied. The density function and its behavior, moments, haz...

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Autor principal: Kilany, N. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5078137/
https://www.ncbi.nlm.nih.gov/pubmed/27822438
http://dx.doi.org/10.1186/s40064-016-3489-2
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author Kilany, N. M.
author_facet Kilany, N. M.
author_sort Kilany, N. M.
collection PubMed
description The Lomax distribution (Pareto Type-II) is widely applicable in reliability and life testing problems in engineering as well as in survival analysis as an alternative distribution. In this paper, Weighted Lomax distribution is proposed and studied. The density function and its behavior, moments, hazard and survival functions, mean residual life and reversed failure rate, extreme values distributions and order statistics are derived and studied. The parameters of this distribution are estimated by the method of moments and the maximum likelihood estimation method and the observed information matrix is derived. Moreover, simulation schemes are derived. Finally, an application of the model to a real data set is presented and compared with some other well-known distributions.
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spelling pubmed-50781372016-11-07 Weighted Lomax distribution Kilany, N. M. Springerplus Research The Lomax distribution (Pareto Type-II) is widely applicable in reliability and life testing problems in engineering as well as in survival analysis as an alternative distribution. In this paper, Weighted Lomax distribution is proposed and studied. The density function and its behavior, moments, hazard and survival functions, mean residual life and reversed failure rate, extreme values distributions and order statistics are derived and studied. The parameters of this distribution are estimated by the method of moments and the maximum likelihood estimation method and the observed information matrix is derived. Moreover, simulation schemes are derived. Finally, an application of the model to a real data set is presented and compared with some other well-known distributions. Springer International Publishing 2016-10-24 /pmc/articles/PMC5078137/ /pubmed/27822438 http://dx.doi.org/10.1186/s40064-016-3489-2 Text en © The Author(s) 2016 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
Kilany, N. M.
Weighted Lomax distribution
title Weighted Lomax distribution
title_full Weighted Lomax distribution
title_fullStr Weighted Lomax distribution
title_full_unstemmed Weighted Lomax distribution
title_short Weighted Lomax distribution
title_sort weighted lomax distribution
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5078137/
https://www.ncbi.nlm.nih.gov/pubmed/27822438
http://dx.doi.org/10.1186/s40064-016-3489-2
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