Exponentiated Power Function Distribution: Properties and Applications

In this study, we have focused to propose a flexible model that demonstrates increasing, decreasing and upside-down bathtub-shaped density and failure rate functions. The proposed model refers to as the exponentiated power function (EPF) distribution. Some mathematical and reliability measures are d...

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Main Authors: Muhammad Zeshan Arshad, Muhammad Zafar Iqbal, Munir Ahmad
Format: Article
Language:English
Published: Springer 2020-07-01
Series:Journal of Statistical Theory and Applications (JSTA)
Subjects:
Online Access:https://www.atlantis-press.com/article/125941613/view
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author Muhammad Zeshan Arshad
Muhammad Zafar Iqbal
Munir Ahmad
author_facet Muhammad Zeshan Arshad
Muhammad Zafar Iqbal
Munir Ahmad
author_sort Muhammad Zeshan Arshad
collection DOAJ
description In this study, we have focused to propose a flexible model that demonstrates increasing, decreasing and upside-down bathtub-shaped density and failure rate functions. The proposed model refers to as the exponentiated power function (EPF) distribution. Some mathematical and reliability measures are developed and derived. We develop explicit expressions for the moments, quantile function and order statistics. Some shapes of the density and the reliability functions are sketched out and discussed. We suggest the method to estimate the unknown parameters of EPF by the maximum likelihood estimation. Two suitable lifetime datasets from engineering sector are used to explore the dominance of the EPF distribution.
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spelling doaj.art-ccde3506bc324b87849acca848035c8a2022-12-22T00:32:01ZengSpringerJournal of Statistical Theory and Applications (JSTA)2214-17662020-07-0119210.2991/jsta.d.200514.001Exponentiated Power Function Distribution: Properties and ApplicationsMuhammad Zeshan ArshadMuhammad Zafar IqbalMunir AhmadIn this study, we have focused to propose a flexible model that demonstrates increasing, decreasing and upside-down bathtub-shaped density and failure rate functions. The proposed model refers to as the exponentiated power function (EPF) distribution. Some mathematical and reliability measures are developed and derived. We develop explicit expressions for the moments, quantile function and order statistics. Some shapes of the density and the reliability functions are sketched out and discussed. We suggest the method to estimate the unknown parameters of EPF by the maximum likelihood estimation. Two suitable lifetime datasets from engineering sector are used to explore the dominance of the EPF distribution.https://www.atlantis-press.com/article/125941613/viewExponentiated distributionPower function distributionBathtub-shaped failure rateOrder statisticsRényi entropyMaximum likelihood estimation
spellingShingle Muhammad Zeshan Arshad
Muhammad Zafar Iqbal
Munir Ahmad
Exponentiated Power Function Distribution: Properties and Applications
Journal of Statistical Theory and Applications (JSTA)
Exponentiated distribution
Power function distribution
Bathtub-shaped failure rate
Order statistics
Rényi entropy
Maximum likelihood estimation
title Exponentiated Power Function Distribution: Properties and Applications
title_full Exponentiated Power Function Distribution: Properties and Applications
title_fullStr Exponentiated Power Function Distribution: Properties and Applications
title_full_unstemmed Exponentiated Power Function Distribution: Properties and Applications
title_short Exponentiated Power Function Distribution: Properties and Applications
title_sort exponentiated power function distribution properties and applications
topic Exponentiated distribution
Power function distribution
Bathtub-shaped failure rate
Order statistics
Rényi entropy
Maximum likelihood estimation
url https://www.atlantis-press.com/article/125941613/view
work_keys_str_mv AT muhammadzeshanarshad exponentiatedpowerfunctiondistributionpropertiesandapplications
AT muhammadzafariqbal exponentiatedpowerfunctiondistributionpropertiesandapplications
AT munirahmad exponentiatedpowerfunctiondistributionpropertiesandapplications