Universiti Teknologi Malaysia Institutional Repository

Introducing the mixed distribution in fitting rainfall data

Syed Jamaludin, Sharifah Suhaila and Yee, Kong Ching and Yusof, Fadhilah and Mean, Foo Hui (2011) Introducing the mixed distribution in fitting rainfall data. Open Journal of Modern Hydrology, 1 . pp. 11-22. ISSN 2163-0461

[img]
Preview
PDF
537kB

Official URL: http://file.scirp.org/Html/7962.html

Abstract

Several types of mixed distribution are proposed and tested in order to determine the best model in describing daily rainfall amount in Peninsular Malaysia for the time period of 33 years. A mixed distribution is a mixture of discrete and continuous daily rainfall which included the dry days. The mixed distributions tested in this study were exponential distribution, gamma distribution, weibull distribution and lognormal distribution. The model will be selected based on the Akaike Information Criterion (AIC). In general, the mixed lognormal distribution has been selected as the best model for most of the rain gauge stations in Peninsular Malaysia. However, these results are greatly influenced by the topographical, geographical and climatic changes of the rain gauge stations.

Item Type:Article
Uncontrolled Keywords:Mixed distribution, Akaike Information Criterion (AIC), Maximum Likelihood Estimator (MLE), Mixed Lognormal
Subjects:Q Science
Divisions:Science
ID Code:39927
Deposited By: Fazli Masari
Deposited On:21 Jul 2014 13:20
Last Modified:14 Oct 2018 16:19

Repository Staff Only: item control page