The Beta-Lindley Distribution: Properties and Applications

We introduce the new continuous distribution, the so-called beta-Lindley distribution that extends the Lindley distribution. We provide a comprehensive mathematical treatment of this distribution. We derive the moment generating function and the rth moment thus, generalizing some results in the lite...

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Main Authors: Faton Merovci, Vikas Kumar Sharma
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/198951
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author Faton Merovci
Vikas Kumar Sharma
author_facet Faton Merovci
Vikas Kumar Sharma
author_sort Faton Merovci
collection DOAJ
description We introduce the new continuous distribution, the so-called beta-Lindley distribution that extends the Lindley distribution. We provide a comprehensive mathematical treatment of this distribution. We derive the moment generating function and the rth moment thus, generalizing some results in the literature. Expressions for the density, moment generating function, and rth moment of the order statistics also are obtained. Further, we also discuss estimation of the unknown model parameters in both classical and Bayesian setup. The usefulness of the new model is illustrated by means of two real data sets. We hope that the new distribution proposed here will serve as an alternative model to other models available in the literature for modelling positive real data in many areas.
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spelling doaj-art-83345f83e1a54283badb7505efa1d8d62025-02-03T05:46:09ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/198951198951The Beta-Lindley Distribution: Properties and ApplicationsFaton Merovci0Vikas Kumar Sharma1Department of Mathematics, University of Prishtina “Hasan Prishtina”, 10000 Prishtinë, KosovoDepartment of Statistics, Banaras Hindu University, Varanasi 221005, IndiaWe introduce the new continuous distribution, the so-called beta-Lindley distribution that extends the Lindley distribution. We provide a comprehensive mathematical treatment of this distribution. We derive the moment generating function and the rth moment thus, generalizing some results in the literature. Expressions for the density, moment generating function, and rth moment of the order statistics also are obtained. Further, we also discuss estimation of the unknown model parameters in both classical and Bayesian setup. The usefulness of the new model is illustrated by means of two real data sets. We hope that the new distribution proposed here will serve as an alternative model to other models available in the literature for modelling positive real data in many areas.http://dx.doi.org/10.1155/2014/198951
spellingShingle Faton Merovci
Vikas Kumar Sharma
The Beta-Lindley Distribution: Properties and Applications
Journal of Applied Mathematics
title The Beta-Lindley Distribution: Properties and Applications
title_full The Beta-Lindley Distribution: Properties and Applications
title_fullStr The Beta-Lindley Distribution: Properties and Applications
title_full_unstemmed The Beta-Lindley Distribution: Properties and Applications
title_short The Beta-Lindley Distribution: Properties and Applications
title_sort beta lindley distribution properties and applications
url http://dx.doi.org/10.1155/2014/198951
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