The Marshall-Olkin extended inverted Kumaraswamy distribution: Theory and applications

A new three parametric distribution is proposed and analyzed, termed as the Marshall-Olkin extended inverted Kumaraswamy (MOEIK) distribution. This generalization has some renowned sub models such as the Beta type II, the Lomax and the Fisk distribution, stated in literature. Study includes the basi...

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Main Authors: Rana Muhammad Usman, Muhammad Ahsan ul Haq
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:Journal of King Saud University: Science
Online Access:http://www.sciencedirect.com/science/article/pii/S1018364717309898
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spelling doaj-3a7886bbd55f479c8dbdd8f017f877b52020-11-25T01:17:06ZengElsevierJournal of King Saud University: Science1018-36472020-01-01321356365The Marshall-Olkin extended inverted Kumaraswamy distribution: Theory and applicationsRana Muhammad Usman0Muhammad Ahsan ul Haq1College of Statistical and Actuarial Science, University of the Punjab, Lahore, Pakistan; Corresponding author.Quality Enhancement Cell (QEC), National College of Arts, Lahore, PakistanA new three parametric distribution is proposed and analyzed, termed as the Marshall-Olkin extended inverted Kumaraswamy (MOEIK) distribution. This generalization has some renowned sub models such as the Beta type II, the Lomax and the Fisk distribution, stated in literature. Study includes the basic properties of the observed probabilistic model. Explicit expressions for major mathematical properties of this distribution such as quantile function, complete and incomplete moments, entropies and moments of order statistic are derived. Maximum likelihood estimation method is used to estimate the parameters. For different parameter values, a number of simulation studies are conducted for different sample sizes and compare the performance of the MOEIK distribution. Three real life applications are provided to explain the potentiality and reliability of the extended distribution with confidence that the generalized model have wider applications in hydrology and the associated fields. Keywords: Inverted Kumaraswamy distribution, Quantile function, Moment generating function, Order statistic, Maximum likelihoodhttp://www.sciencedirect.com/science/article/pii/S1018364717309898
collection DOAJ
language English
format Article
sources DOAJ
author Rana Muhammad Usman
Muhammad Ahsan ul Haq
spellingShingle Rana Muhammad Usman
Muhammad Ahsan ul Haq
The Marshall-Olkin extended inverted Kumaraswamy distribution: Theory and applications
Journal of King Saud University: Science
author_facet Rana Muhammad Usman
Muhammad Ahsan ul Haq
author_sort Rana Muhammad Usman
title The Marshall-Olkin extended inverted Kumaraswamy distribution: Theory and applications
title_short The Marshall-Olkin extended inverted Kumaraswamy distribution: Theory and applications
title_full The Marshall-Olkin extended inverted Kumaraswamy distribution: Theory and applications
title_fullStr The Marshall-Olkin extended inverted Kumaraswamy distribution: Theory and applications
title_full_unstemmed The Marshall-Olkin extended inverted Kumaraswamy distribution: Theory and applications
title_sort marshall-olkin extended inverted kumaraswamy distribution: theory and applications
publisher Elsevier
series Journal of King Saud University: Science
issn 1018-3647
publishDate 2020-01-01
description A new three parametric distribution is proposed and analyzed, termed as the Marshall-Olkin extended inverted Kumaraswamy (MOEIK) distribution. This generalization has some renowned sub models such as the Beta type II, the Lomax and the Fisk distribution, stated in literature. Study includes the basic properties of the observed probabilistic model. Explicit expressions for major mathematical properties of this distribution such as quantile function, complete and incomplete moments, entropies and moments of order statistic are derived. Maximum likelihood estimation method is used to estimate the parameters. For different parameter values, a number of simulation studies are conducted for different sample sizes and compare the performance of the MOEIK distribution. Three real life applications are provided to explain the potentiality and reliability of the extended distribution with confidence that the generalized model have wider applications in hydrology and the associated fields. Keywords: Inverted Kumaraswamy distribution, Quantile function, Moment generating function, Order statistic, Maximum likelihood
url http://www.sciencedirect.com/science/article/pii/S1018364717309898
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