Alpha power inverse Weibull distribution with reliability application

In this paper, we use the method of the alpha power transformation to introduce a new generalized alpha power inverse Weibull (APIW) distribution. Its characterization and statistical properties are obtained, such as reliability, moments, entropy and order statistics. Moreover, the estimation of the...

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Main Author: Abdulkareem M. Basheer
Format: Article
Language:English
Published: Taylor & Francis Group 2019-12-01
Series:Journal of Taibah University for Science
Subjects:
Online Access:http://dx.doi.org/10.1080/16583655.2019.1588488
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spelling doaj-1c729733dd514e3e9608f457a00906892020-11-25T02:12:58ZengTaylor & Francis GroupJournal of Taibah University for Science1658-36552019-12-0113142343210.1080/16583655.2019.15884881588488Alpha power inverse Weibull distribution with reliability applicationAbdulkareem M. Basheer0Albayda UniversityIn this paper, we use the method of the alpha power transformation to introduce a new generalized alpha power inverse Weibull (APIW) distribution. Its characterization and statistical properties are obtained, such as reliability, moments, entropy and order statistics. Moreover, the estimation of the APIW parameters is discussed by using maximum likelihood estimation method. Finally, the application of the proposed new distribution to a real data representing the waiting time before customer service in the bank is given and its goodness-of-fit is demonstrated. In addition, comparisons to other models are carried out to illustrate the flexibility of the proposed model.http://dx.doi.org/10.1080/16583655.2019.1588488alpha power transformationinverse weibull distributionreliabilitymomentsmaximum likelihood estimationsimulation
collection DOAJ
language English
format Article
sources DOAJ
author Abdulkareem M. Basheer
spellingShingle Abdulkareem M. Basheer
Alpha power inverse Weibull distribution with reliability application
Journal of Taibah University for Science
alpha power transformation
inverse weibull distribution
reliability
moments
maximum likelihood estimation
simulation
author_facet Abdulkareem M. Basheer
author_sort Abdulkareem M. Basheer
title Alpha power inverse Weibull distribution with reliability application
title_short Alpha power inverse Weibull distribution with reliability application
title_full Alpha power inverse Weibull distribution with reliability application
title_fullStr Alpha power inverse Weibull distribution with reliability application
title_full_unstemmed Alpha power inverse Weibull distribution with reliability application
title_sort alpha power inverse weibull distribution with reliability application
publisher Taylor & Francis Group
series Journal of Taibah University for Science
issn 1658-3655
publishDate 2019-12-01
description In this paper, we use the method of the alpha power transformation to introduce a new generalized alpha power inverse Weibull (APIW) distribution. Its characterization and statistical properties are obtained, such as reliability, moments, entropy and order statistics. Moreover, the estimation of the APIW parameters is discussed by using maximum likelihood estimation method. Finally, the application of the proposed new distribution to a real data representing the waiting time before customer service in the bank is given and its goodness-of-fit is demonstrated. In addition, comparisons to other models are carried out to illustrate the flexibility of the proposed model.
topic alpha power transformation
inverse weibull distribution
reliability
moments
maximum likelihood estimation
simulation
url http://dx.doi.org/10.1080/16583655.2019.1588488
work_keys_str_mv AT abdulkareemmbasheer alphapowerinverseweibulldistributionwithreliabilityapplication
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