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Extended inverse Lindley distribution: properties and application

In this paper, we introduce an extension of the inverse Lindley distribution, which offers more flexibility in modeling upside-down bathtub lifetime data. Some statistical properties of the proposed distribution are explicitly derived. These include density and hazard rate functions with their behav...

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Autor principal: Alkarni, Said Hofan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4641148/
https://www.ncbi.nlm.nih.gov/pubmed/26576333
http://dx.doi.org/10.1186/s40064-015-1489-2
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author Alkarni, Said Hofan
author_facet Alkarni, Said Hofan
author_sort Alkarni, Said Hofan
collection PubMed
description In this paper, we introduce an extension of the inverse Lindley distribution, which offers more flexibility in modeling upside-down bathtub lifetime data. Some statistical properties of the proposed distribution are explicitly derived. These include density and hazard rate functions with their behavior, moments, moment generating function, skewness, kurtosis measures, and quantile function. Maximum likelihood estimation of the parameters and their estimated asymptotic distribution and confidence intervals are derived. Rényi entropy as a measure of the uncertainty in the model is derived. The application of the model to a real data set i.e., the flood levels for the Susquehanna river at Harrisburg, Pennsylvania, over 20 four-year periods from 1890 to 1969 is compared to the fit attained by some other well-known existing distributions.
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spelling pubmed-46411482015-11-16 Extended inverse Lindley distribution: properties and application Alkarni, Said Hofan Springerplus Research In this paper, we introduce an extension of the inverse Lindley distribution, which offers more flexibility in modeling upside-down bathtub lifetime data. Some statistical properties of the proposed distribution are explicitly derived. These include density and hazard rate functions with their behavior, moments, moment generating function, skewness, kurtosis measures, and quantile function. Maximum likelihood estimation of the parameters and their estimated asymptotic distribution and confidence intervals are derived. Rényi entropy as a measure of the uncertainty in the model is derived. The application of the model to a real data set i.e., the flood levels for the Susquehanna river at Harrisburg, Pennsylvania, over 20 four-year periods from 1890 to 1969 is compared to the fit attained by some other well-known existing distributions. Springer International Publishing 2015-11-10 /pmc/articles/PMC4641148/ /pubmed/26576333 http://dx.doi.org/10.1186/s40064-015-1489-2 Text en © Alkarni. 2015 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
Alkarni, Said Hofan
Extended inverse Lindley distribution: properties and application
title Extended inverse Lindley distribution: properties and application
title_full Extended inverse Lindley distribution: properties and application
title_fullStr Extended inverse Lindley distribution: properties and application
title_full_unstemmed Extended inverse Lindley distribution: properties and application
title_short Extended inverse Lindley distribution: properties and application
title_sort extended inverse lindley distribution: properties and application
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4641148/
https://www.ncbi.nlm.nih.gov/pubmed/26576333
http://dx.doi.org/10.1186/s40064-015-1489-2
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