Beta Burr type X with application to rainfall data
We introduce a new extension distribution for Burr type X with one parameter named the Beta Burr type X. The new distribution is extended from the Burr type X with one parameter. Several important properties of the new extension distribution are derived like the moment, and moment generating functio...
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Institute for Mathematical Research, Universiti Putra Malaysia
2017
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Online Access: | http://psasir.upm.edu.my/id/eprint/51703/1/5.%20Mundher.pdf http://psasir.upm.edu.my/id/eprint/51703/ http://einspem.upm.edu.my/journal/fullpaper/vol11sfeb/5.%20Mundher.pdf |
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my.upm.eprints.517032017-04-27T09:55:46Z http://psasir.upm.edu.my/id/eprint/51703/ Beta Burr type X with application to rainfall data Khaleel, Munddher Abdullah Ibrahim, Noor Akma Shitan, Mahendran Merovci, Faton Rehman, Erum We introduce a new extension distribution for Burr type X with one parameter named the Beta Burr type X. The new distribution is extended from the Burr type X with one parameter. Several important properties of the new extension distribution are derived like the moment, and moment generating function. The maximum likelihood estimation is used to estimate the parameters involved. A rainfall data set from 1975 to 2005 for 35 stations in peninsular Malaysia is used for the application of this new model. It gives a better fit compared to several other distributions. Institute for Mathematical Research, Universiti Putra Malaysia 2017 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/51703/1/5.%20Mundher.pdf Khaleel, Munddher Abdullah and Ibrahim, Noor Akma and Shitan, Mahendran and Merovci, Faton and Rehman, Erum (2017) Beta Burr type X with application to rainfall data. Malaysian Journal of Mathematical Sciences, 11 (spec. Feb.). pp. 73-86. ISSN 1823-8343; ESSN: 2289-750X http://einspem.upm.edu.my/journal/fullpaper/vol11sfeb/5.%20Mundher.pdf |
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We introduce a new extension distribution for Burr type X with one parameter named the Beta Burr type X. The new distribution is extended from the Burr type X with one parameter. Several important properties of the new extension distribution are derived like the moment, and moment generating function. The maximum likelihood estimation is used to estimate the parameters involved. A rainfall data set from 1975 to 2005 for 35 stations in peninsular Malaysia is used for the application of this new model. It gives a better fit compared to several other distributions. |
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Article |
author |
Khaleel, Munddher Abdullah Ibrahim, Noor Akma Shitan, Mahendran Merovci, Faton Rehman, Erum |
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Khaleel, Munddher Abdullah Ibrahim, Noor Akma Shitan, Mahendran Merovci, Faton Rehman, Erum Beta Burr type X with application to rainfall data |
author_facet |
Khaleel, Munddher Abdullah Ibrahim, Noor Akma Shitan, Mahendran Merovci, Faton Rehman, Erum |
author_sort |
Khaleel, Munddher Abdullah |
title |
Beta Burr type X with application to rainfall data |
title_short |
Beta Burr type X with application to rainfall data |
title_full |
Beta Burr type X with application to rainfall data |
title_fullStr |
Beta Burr type X with application to rainfall data |
title_full_unstemmed |
Beta Burr type X with application to rainfall data |
title_sort |
beta burr type x with application to rainfall data |
publisher |
Institute for Mathematical Research, Universiti Putra Malaysia |
publishDate |
2017 |
url |
http://psasir.upm.edu.my/id/eprint/51703/1/5.%20Mundher.pdf http://psasir.upm.edu.my/id/eprint/51703/ http://einspem.upm.edu.my/journal/fullpaper/vol11sfeb/5.%20Mundher.pdf |
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