Independent Gamma Variables of McKay Distribution for Rainfall Model
The application of mathematical models of rainfall is crucial in order to have a better understanding in terms of rainfall characteristics. The rainfall models has been used widely to improve water management, to construct hydrological structures and as an input in climatological studies. In this st...
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Online Access: | http://umpir.ump.edu.my/id/eprint/8548/1/Independent_Gamma_Variables_of_McKay_Distribution_for_Rainfall_Model.pdf http://umpir.ump.edu.my/id/eprint/8548/5/fist-2015-fizahm-Independent%20Gamma%20Variables%20of%20McKay%20Distribution%20for%20Rainfall%20Model.pdf http://umpir.ump.edu.my/id/eprint/8548/ http://www.jcscm.net/cms/page.php?issues=1&id=33&volume=5&paperid=1830622 |
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my.ump.umpir.85482022-10-26T01:17:33Z http://umpir.ump.edu.my/id/eprint/8548/ Independent Gamma Variables of McKay Distribution for Rainfall Model Roslinazairimah, Zakaria Nor Hafizah, Moslim Q Science (General) The application of mathematical models of rainfall is crucial in order to have a better understanding in terms of rainfall characteristics. The rainfall models has been used widely to improve water management, to construct hydrological structures and as an input in climatological studies. In this study, the gamma distribution is used to fit the marginals of monthly rainfall data. The parameters of gamma distributions, shape and scale, are estimated using the maximum likelihood estimation method. Then the sum of monthly rainfall amount is modelled using the Mckay ditribution for independent gamma variables. Science & Knowledge Research Society 2015 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/8548/1/Independent_Gamma_Variables_of_McKay_Distribution_for_Rainfall_Model.pdf pdf en http://umpir.ump.edu.my/id/eprint/8548/5/fist-2015-fizahm-Independent%20Gamma%20Variables%20of%20McKay%20Distribution%20for%20Rainfall%20Model.pdf Roslinazairimah, Zakaria and Nor Hafizah, Moslim (2015) Independent Gamma Variables of McKay Distribution for Rainfall Model. Journal of Computer Science & Computational Mathematics, 5 (1). pp. 9-12. ISSN 2231-8879 http://www.jcscm.net/cms/page.php?issues=1&id=33&volume=5&paperid=1830622 DOI: 10.20967/jcscm.2015.01.002 |
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The application of mathematical models of rainfall is crucial in order to have a better understanding in terms of rainfall characteristics. The rainfall models has been used widely to improve water management, to construct hydrological structures and as an input in climatological studies. In this study, the gamma distribution is used to fit the marginals of monthly rainfall data. The parameters of gamma distributions, shape and scale, are estimated using the maximum likelihood estimation method. Then the sum of monthly rainfall amount is modelled using the Mckay ditribution for independent gamma variables.
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Article |
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Roslinazairimah, Zakaria Nor Hafizah, Moslim |
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Roslinazairimah, Zakaria Nor Hafizah, Moslim |
author_sort |
Roslinazairimah, Zakaria |
title |
Independent Gamma Variables of McKay Distribution for Rainfall Model |
title_short |
Independent Gamma Variables of McKay Distribution for Rainfall Model |
title_full |
Independent Gamma Variables of McKay Distribution for Rainfall Model |
title_fullStr |
Independent Gamma Variables of McKay Distribution for Rainfall Model |
title_full_unstemmed |
Independent Gamma Variables of McKay Distribution for Rainfall Model |
title_sort |
independent gamma variables of mckay distribution for rainfall model |
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Science & Knowledge Research Society |
publishDate |
2015 |
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http://umpir.ump.edu.my/id/eprint/8548/1/Independent_Gamma_Variables_of_McKay_Distribution_for_Rainfall_Model.pdf http://umpir.ump.edu.my/id/eprint/8548/5/fist-2015-fizahm-Independent%20Gamma%20Variables%20of%20McKay%20Distribution%20for%20Rainfall%20Model.pdf http://umpir.ump.edu.my/id/eprint/8548/ http://www.jcscm.net/cms/page.php?issues=1&id=33&volume=5&paperid=1830622 |
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