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Introducing the Mixed Distribution in Fitting Rainfall Data 被引量:1

Introducing the Mixed Distribution in Fitting Rainfall Data
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摘要 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. 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.
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出处 《Open Journal of Modern Hydrology》 2011年第2期11-22,共12页 现代水文学期刊(英文)
关键词 MIXED DISTRIBUTION Akaike Information Criterion (AIC) Maximum LIKELIHOOD Estimator (MLE) MIXED LOGNORMAL Mixed distribution Akaike Information Criterion (AIC) Maximum Likelihood Estimator (MLE) Mixed Lognormal
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