Abstract
Elamir and Seheult (Comput Stat Data Anal 43:299–314, 2003) extended L-moments to new moment called trimmed L-moments (TL-moment). TL-moments is introduced as an alternative way to estimate floods for high return periods. The TL-moments have an ability to reduce the undesirable influence that a small value in the statistical sample might have on a large return period. The main objective of this study is to derive the TL-moments (1,0), (2,0), (3,0), and (4,0) for the generalized logistic (GLO) distribution. The performance of the TL-moments (2,0), (3,0), and (4,0) was compared with TL-moments (1,0) through Monte Carlo simulation based on the streamflow data of Sg. Serting at Jam. Padang Gudang, located in Pahang, Malaysia, for various sample sizes and return periods.
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