Exponentiated Kumaraswamy Exponentiated Weibull distribution with application

In this article, a new distribution called the Exponentiated Kumaraswamy Exponentiated Weibull (EKEW) that extends the exponentiated Weibull distribution is derived and studied. The distribution has six parameters that can be expressed as a mixture of Exponentiated Weibull (EW) distribution. We obta...

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Main Authors: Ibrahim, Noor Akma, Khaleel, Mundher Abdullah
Format: Article
Language:English
Published: Pustaka Aman Press 2018
Online Access:http://psasir.upm.edu.my/id/eprint/72683/
http://psasir.upm.edu.my/id/eprint/72683/1/Exponentiated%20Kumaraswamy%20Exponentiated%20Weibull%20.pdf
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author Ibrahim, Noor Akma
Khaleel, Mundher Abdullah
author_facet Ibrahim, Noor Akma
Khaleel, Mundher Abdullah
author_sort Ibrahim, Noor Akma
building UPM Institutional Repository
collection Online Access
description In this article, a new distribution called the Exponentiated Kumaraswamy Exponentiated Weibull (EKEW) that extends the exponentiated Weibull distribution is derived and studied. The distribution has six parameters that can be expressed as a mixture of Exponentiated Weibull (EW) distribution. We obtain general explicit expression for the quantile function which can be used to find some essential measures, such as Bowleys skewness and Moors kurtosis. Furthermore, the quantile function can be used to generate data for simulation study. Several sub models are determined. The parameters are estimated by using the maximum likelihood method. The finite sample properties are assessed by using simulation study. A real dataset is used to demonstrate the potentiality and flexibility of EKEW distribution.
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spelling upm-726832022-08-01T20:05:41Z http://psasir.upm.edu.my/id/eprint/72683/ Exponentiated Kumaraswamy Exponentiated Weibull distribution with application Ibrahim, Noor Akma Khaleel, Mundher Abdullah In this article, a new distribution called the Exponentiated Kumaraswamy Exponentiated Weibull (EKEW) that extends the exponentiated Weibull distribution is derived and studied. The distribution has six parameters that can be expressed as a mixture of Exponentiated Weibull (EW) distribution. We obtain general explicit expression for the quantile function which can be used to find some essential measures, such as Bowleys skewness and Moors kurtosis. Furthermore, the quantile function can be used to generate data for simulation study. Several sub models are determined. The parameters are estimated by using the maximum likelihood method. The finite sample properties are assessed by using simulation study. A real dataset is used to demonstrate the potentiality and flexibility of EKEW distribution. Pustaka Aman Press 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/72683/1/Exponentiated%20Kumaraswamy%20Exponentiated%20Weibull%20.pdf Ibrahim, Noor Akma and Khaleel, Mundher Abdullah (2018) Exponentiated Kumaraswamy Exponentiated Weibull distribution with application. Jurnal KALAM: Karya Lorekan Asli Ahli Matematik, 11 (1). 15 - 22. ISSN 1985-5222 https://www.researchgate.net/publication/327534844_EXPONENTIATED_KUMARASWAMY_EXPONENTIATED_WEIBULL_DISTRIBUTION_WITH_APPLICATION
spellingShingle Ibrahim, Noor Akma
Khaleel, Mundher Abdullah
Exponentiated Kumaraswamy Exponentiated Weibull distribution with application
title Exponentiated Kumaraswamy Exponentiated Weibull distribution with application
title_full Exponentiated Kumaraswamy Exponentiated Weibull distribution with application
title_fullStr Exponentiated Kumaraswamy Exponentiated Weibull distribution with application
title_full_unstemmed Exponentiated Kumaraswamy Exponentiated Weibull distribution with application
title_short Exponentiated Kumaraswamy Exponentiated Weibull distribution with application
title_sort exponentiated kumaraswamy exponentiated weibull distribution with application
url http://psasir.upm.edu.my/id/eprint/72683/
http://psasir.upm.edu.my/id/eprint/72683/
http://psasir.upm.edu.my/id/eprint/72683/1/Exponentiated%20Kumaraswamy%20Exponentiated%20Weibull%20.pdf