Parameter estimation of extreme rainfall distribution in Johor using Bayesian Markov Chain Monte Carlo

• Main Authors: Nazmi, N., Saipol, H. F. S., Yusof, F., Mazlan, S. A., Rahman, M. A. A., Nordin, N. A., Johari, N., Aziz, S. A. A.
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/93704/1/NNazmi2020_ParameterEstimationofExtremeRainfall.pdf; http://eprints.utm.my/id/eprint/93704/; http://dx.doi.org/10.1088/1755-1315/479/1/012019

Heavy rainfall and the associated floods occur frequently in the Malaysia and have caused huge economic losses as well as massive impact on agriculture and people. As a consequence, it is necessary to understand the distribution of extreme rainfall in order to improve the managements in a country. T...