Fitting daily rainfall amount in Malaysia using the normal transform distribution

摘要: This research presents a statistical study of rainfall which compares several types normal transform distributions that describe distribution in Malaysia over multi-year period. The meaning all tested were established based on some modification or transformation the through methods. lognormal, skew and mixed lognormal are among proposed to identify optimal model for daily amount rain gauge stations Malaysia. selected will be chosen minimum error produced by seven criteria goodness of-fit (GOF) tests, namely median absolute difference (MAD) between empirical hypothesized function, traditional Empirical Distribution Function (EDF) Statistics include Kolmogorov-Smirnov statistic D, Anderson Darling A2 Cramer-von-Mises W2 new method EDF likelihood ratio statistics. Of three models tested, is found most appropriate describing