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...
Main Authors: | , |
---|---|
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 |
id |
doaj-3a7886bbd55f479c8dbdd8f017f877b5 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT ranamuhammadusman themarshallolkinextendedinvertedkumaraswamydistributiontheoryandapplications AT muhammadahsanulhaq themarshallolkinextendedinvertedkumaraswamydistributiontheoryandapplications AT ranamuhammadusman marshallolkinextendedinvertedkumaraswamydistributiontheoryandapplications AT muhammadahsanulhaq marshallolkinextendedinvertedkumaraswamydistributiontheoryandapplications |
_version_ |
1725148256657211392 |