The Gompertz flexible Weibull distribution and its applications

This paper introduces the Gompertz flexible Weibull distribution as an extension of the flexible Weibull distribution. Its various statistical properties are obtained and established while the method of maximum likelihood estimation is used in estimating the unknown model parameters. The application...

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Main Authors: Khaleel, Munddher Abdullah, Oguntunde, Pelumi E., Ahmed, M. T., Ibrahim, Noor Akma, Loh, Yue Fang
Format: Article
Language:English
Published: Institute for Mathematical Research, Universiti Putra Malaysia 2020
Online Access:http://psasir.upm.edu.my/id/eprint/38341/
http://psasir.upm.edu.my/id/eprint/38341/1/9.%20Munther%20Khalil.pdf
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author Khaleel, Munddher Abdullah
Oguntunde, Pelumi E.
Ahmed, M. T.
Ibrahim, Noor Akma
Loh, Yue Fang
author_facet Khaleel, Munddher Abdullah
Oguntunde, Pelumi E.
Ahmed, M. T.
Ibrahim, Noor Akma
Loh, Yue Fang
author_sort Khaleel, Munddher Abdullah
building UPM Institutional Repository
collection Online Access
description This paper introduces the Gompertz flexible Weibull distribution as an extension of the flexible Weibull distribution. Its various statistical properties are obtained and established while the method of maximum likelihood estimation is used in estimating the unknown model parameters. The application of Gompertz flexible Weibull distribution is illustrated by making use of three real life data sets, this is done to demonstrate its potentials over some other important distributions like the Gompertz Weibull, Gompertz Burr type XII, Gompertz Lomax, exponentiated flexible Weibull, exponentiated flexible Weibull extension and Kumaraswamy flexible Weibull distributions. Simulation studies were also conducted and the behavior of the Gompertz flexible Weibull parameters were investigated.
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spelling upm-383412020-05-04T16:19:31Z http://psasir.upm.edu.my/id/eprint/38341/ The Gompertz flexible Weibull distribution and its applications Khaleel, Munddher Abdullah Oguntunde, Pelumi E. Ahmed, M. T. Ibrahim, Noor Akma Loh, Yue Fang This paper introduces the Gompertz flexible Weibull distribution as an extension of the flexible Weibull distribution. Its various statistical properties are obtained and established while the method of maximum likelihood estimation is used in estimating the unknown model parameters. The application of Gompertz flexible Weibull distribution is illustrated by making use of three real life data sets, this is done to demonstrate its potentials over some other important distributions like the Gompertz Weibull, Gompertz Burr type XII, Gompertz Lomax, exponentiated flexible Weibull, exponentiated flexible Weibull extension and Kumaraswamy flexible Weibull distributions. Simulation studies were also conducted and the behavior of the Gompertz flexible Weibull parameters were investigated. Institute for Mathematical Research, Universiti Putra Malaysia 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/38341/1/9.%20Munther%20Khalil.pdf Khaleel, Munddher Abdullah and Oguntunde, Pelumi E. and Ahmed, M. T. and Ibrahim, Noor Akma and Loh, Yue Fang (2020) The Gompertz flexible Weibull distribution and its applications. Malaysian Journal of Mathematical Sciences, 14 (1). pp. 169-191. ISSN 1823-8343; ESSN: 2289-750X http://einspem.upm.edu.my/journal/fullpaper/vol14no1jan/9.%20Munther%20Khalil.pdf
spellingShingle Khaleel, Munddher Abdullah
Oguntunde, Pelumi E.
Ahmed, M. T.
Ibrahim, Noor Akma
Loh, Yue Fang
The Gompertz flexible Weibull distribution and its applications
title The Gompertz flexible Weibull distribution and its applications
title_full The Gompertz flexible Weibull distribution and its applications
title_fullStr The Gompertz flexible Weibull distribution and its applications
title_full_unstemmed The Gompertz flexible Weibull distribution and its applications
title_short The Gompertz flexible Weibull distribution and its applications
title_sort gompertz flexible weibull distribution and its applications
url http://psasir.upm.edu.my/id/eprint/38341/
http://psasir.upm.edu.my/id/eprint/38341/
http://psasir.upm.edu.my/id/eprint/38341/1/9.%20Munther%20Khalil.pdf