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E. Ha and C. Yoo, “Use of Mixed Bivariate Distributions for Deriving Inter-Station Correlation Coefficients of Rain Rate,” Hydrological Processes, Vol. 21, No. 22, 2007, pp. 3078-3086. doi:10.1002/hyp.6526

has been cited by the following article:

• TITLE: Introducing the Mixed Distribution in Fitting Rainfall Data

  AUTHORS: Jamaludin Suhaila, Kong Ching-Yee, Yusof Fadhilah, Foo Hui-Mean

  KEYWORDS: Mixed distribution, Akaike Information Criterion (AIC), Maximum Likelihood Estimator (MLE), Mixed Lognormal

  JOURNAL NAME: Open Journal of Modern Hydrology, Vol.1 No.2, October 18, 2011

  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.