Choosing the best fit distribution for rainfall event characteristics based on 6H-IETD within Peninsular Malaysia
In selecting the best-fit distribution model for the rainfall event characteristics based on the inter-event time definition (IETD) of 6 hours for the selected rainfall in the Peninsular of Malaysia, seven distributions were utilized namely the beta (B4), exponential (EX1), gamma (G2), generalized e...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/58049/1/SobriHarun2015_ChoosingTheBestFitDistributionForRainfallEventCharacteristics.pdf http://eprints.utm.my/id/eprint/58049/ http://dx.doi.org/ 10.11113/jt.v75.3058 |
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| Summary: | In selecting the best-fit distribution model for the rainfall event characteristics based on the inter-event time definition (IETD) of 6 hours for the selected rainfall in the Peninsular of Malaysia, seven distributions were utilized namely the beta (B4), exponential (EX1), gamma (G2), generalized extreme value (GEV), generalized Pareto (GP), Log-Pearson 3 (LP3), and Wakeby (WKB). Maximum likelihood estimation (MLE) was applied to estimate the parameters of each distribution. Based on the results, GP, WKB and GEV were found to be the most suitable distribution for describing the rainfall event characteristics in the studied regions. |
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