L-Momen Peringkat Tinggi: Penggunaan Bagi Memodelkan Taburan Logistik Teritlak

Estimation of floods of large return periods is often required in engineering structure design. This study introduces a method based on LH-moments (LMT) to use generalized logistic (GL) distribution for estimating the upper-part of distribution.Application of the GL distribution using both LMOM and LMT parameter estimates from two actual data are demonstrated. The performance of the LMT method and the LMOM method are assessed by evaluating the bias and mean square error (MSE) of quantile estimates through Monte Carlo simulations with the presence of outlier. Monte Carlo simulation results show that LMT lead to reduced bias and mean square error (MSE) for F = 0.90 and poorer estimation for F = 0.999 compared to L-moments. For the estimation of x(F = 0.9), LMTare in many cases significantly more efficient than LMOM only for sample sizes, n 20.