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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Akademi Sains Malaysia
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/89098/1/BURR.pdf |
| _version_ | 1825936623093678080 |
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| author | Ibrahim, Noor Akma Khaleel, Mundher Abdullah |
| author_facet | Ibrahim, Noor Akma Khaleel, Mundher Abdullah |
| author_sort | Ibrahim, Noor Akma |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T10:47:06Z |
| format | Article |
| id | upm.eprints-89098 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:47:06Z |
| publishDate | 2020 |
| publisher | Akademi Sains Malaysia |
| record_format | dspace |
| spelling | 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) |
| spellingShingle | Ibrahim, Noor Akma Khaleel, Mundher Abdullah Generalizations of Burr Type X distribution with applications |
| title | 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_short | Generalizations of Burr Type X distribution with applications |
| title_sort | generalizations of burr type x distribution with applications |
| url | http://psasir.upm.edu.my/id/eprint/89098/1/BURR.pdf |
| work_keys_str_mv | AT ibrahimnoorakma generalizationsofburrtypexdistributionwithapplications AT khaleelmundherabdullah generalizationsofburrtypexdistributionwithapplications |