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Generalizations of Burr Type X distribution with applications

We propose the generalizations of Burr Type X distribution with two parameters by using the methods of Beta-G, Gamma-G and Weibull-G families of distributions. We discuss maximum likelihood estimation of the model’s parameters. The performances of the parameter’s estimates are assessed via simulatio...

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Main Authors: Ibrahim, Noor Akma, Khaleel, Mundher Abdullah
Format: Article
Language:English
Published: Akademi Sains Malaysia 2020
Online Access:http://psasir.upm.edu.my/id/eprint/89098/1/BURR.pdf
http://psasir.upm.edu.my/id/eprint/89098/
https://www.akademisains.gov.my/asmsj/article/generalizations-of-burr-type-x-distribution-with-applications/
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spelling my.upm.eprints.890982021-09-01T23:29:01Z http://psasir.upm.edu.my/id/eprint/89098/ Generalizations of Burr Type X distribution with applications Ibrahim, Noor Akma Khaleel, Mundher Abdullah We propose the generalizations of Burr Type X distribution with two parameters by using the methods of Beta-G, Gamma-G and Weibull-G families of distributions. We discuss maximum likelihood estimation of the model’s parameters. The performances of the parameter’s estimates are assessed via simulation studies under different sets of conditions. In the applications to real data sets, three sets of data are used whereby from the results we can deduce that these models can be used quite effectively in analysing lifetime data. Akademi Sains Malaysia 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/89098/1/BURR.pdf Ibrahim, Noor Akma and Khaleel, Mundher Abdullah (2020) Generalizations of Burr Type X distribution with applications. ASM Science Journal, 13. pp. 1-8. ISSN 1823-6782 https://www.akademisains.gov.my/asmsj/article/generalizations-of-burr-type-x-distribution-with-applications/ 10.32802/asmscj.2020.sm26(1.9)
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description We propose the generalizations of Burr Type X distribution with two parameters by using the methods of Beta-G, Gamma-G and Weibull-G families of distributions. We discuss maximum likelihood estimation of the model’s parameters. The performances of the parameter’s estimates are assessed via simulation studies under different sets of conditions. In the applications to real data sets, three sets of data are used whereby from the results we can deduce that these models can be used quite effectively in analysing lifetime data.
format Article
author Ibrahim, Noor Akma
Khaleel, Mundher Abdullah
spellingShingle Ibrahim, Noor Akma
Khaleel, Mundher Abdullah
Generalizations of Burr Type X distribution with applications
author_facet Ibrahim, Noor Akma
Khaleel, Mundher Abdullah
author_sort Ibrahim, Noor Akma
title Generalizations of Burr Type X distribution with applications
title_short Generalizations of Burr Type X distribution with applications
title_full Generalizations of Burr Type X distribution with applications
title_fullStr Generalizations of Burr Type X distribution with applications
title_full_unstemmed Generalizations of Burr Type X distribution with applications
title_sort generalizations of burr type x distribution with applications
publisher Akademi Sains Malaysia
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/89098/1/BURR.pdf
http://psasir.upm.edu.my/id/eprint/89098/
https://www.akademisains.gov.my/asmsj/article/generalizations-of-burr-type-x-distribution-with-applications/
_version_ 1710677163749933056
score 13.211869

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