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On the Extended Generalized Inverted Kumaraswamy Distribution

In this work, we provide a new generated class of models, namely, the extended generalized inverted Kumaraswamy generated (EGIKw-G) family of distributions. Several structural properties (survival function (sf), hazard rate function (hrf), reverse hazard rate function (rhrf), quantile function (qf)...

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Detalles Bibliográficos
Autores principales: Ramzan, Qasim, Qamar, Sadia, Amin, Muhammad, Alshanbari, Huda M., Nazeer, Amna, Elhassanein, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872654/
https://www.ncbi.nlm.nih.gov/pubmed/35222621
http://dx.doi.org/10.1155/2022/1612959
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author Ramzan, Qasim
Qamar, Sadia
Amin, Muhammad
Alshanbari, Huda M.
Nazeer, Amna
Elhassanein, Ahmed
author_facet Ramzan, Qasim
Qamar, Sadia
Amin, Muhammad
Alshanbari, Huda M.
Nazeer, Amna
Elhassanein, Ahmed
author_sort Ramzan, Qasim
collection PubMed
description In this work, we provide a new generated class of models, namely, the extended generalized inverted Kumaraswamy generated (EGIKw-G) family of distributions. Several structural properties (survival function (sf), hazard rate function (hrf), reverse hazard rate function (rhrf), quantile function (qf) and median, s(th) raw moment, generating function, mean deviation (md), etc.) are provided. The estimates for parameters of new G class are derived via maximum likelihood estimation (MLE) method. The special models of the proposed class are discussed, and particular attention is given to one special model, the extended generalized inverted Kumaraswamy Burr XII (EGIKw-Burr XII) model. Estimators are evaluated via a Monte Carlo simulation (MCS). The superiority of EGIKw-Burr XII model is proved using a lifetime data applications.
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spelling pubmed-88726542022-02-25 On the Extended Generalized Inverted Kumaraswamy Distribution Ramzan, Qasim Qamar, Sadia Amin, Muhammad Alshanbari, Huda M. Nazeer, Amna Elhassanein, Ahmed Comput Intell Neurosci Research Article In this work, we provide a new generated class of models, namely, the extended generalized inverted Kumaraswamy generated (EGIKw-G) family of distributions. Several structural properties (survival function (sf), hazard rate function (hrf), reverse hazard rate function (rhrf), quantile function (qf) and median, s(th) raw moment, generating function, mean deviation (md), etc.) are provided. The estimates for parameters of new G class are derived via maximum likelihood estimation (MLE) method. The special models of the proposed class are discussed, and particular attention is given to one special model, the extended generalized inverted Kumaraswamy Burr XII (EGIKw-Burr XII) model. Estimators are evaluated via a Monte Carlo simulation (MCS). The superiority of EGIKw-Burr XII model is proved using a lifetime data applications. Hindawi 2022-02-17 /pmc/articles/PMC8872654/ /pubmed/35222621 http://dx.doi.org/10.1155/2022/1612959 Text en Copyright © 2022 Qasim Ramzan et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ramzan, Qasim
Qamar, Sadia
Amin, Muhammad
Alshanbari, Huda M.
Nazeer, Amna
Elhassanein, Ahmed
On the Extended Generalized Inverted Kumaraswamy Distribution
title On the Extended Generalized Inverted Kumaraswamy Distribution
title_full On the Extended Generalized Inverted Kumaraswamy Distribution
title_fullStr On the Extended Generalized Inverted Kumaraswamy Distribution
title_full_unstemmed On the Extended Generalized Inverted Kumaraswamy Distribution
title_short On the Extended Generalized Inverted Kumaraswamy Distribution
title_sort on the extended generalized inverted kumaraswamy distribution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872654/
https://www.ncbi.nlm.nih.gov/pubmed/35222621
http://dx.doi.org/10.1155/2022/1612959
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