Parameter Estimation Based On Partial L-Moments Method For Censored Samples

Zakaria, Zahrahtul Amani and Mamat, Mustafa and Shabri, Ani (2015) Parameter Estimation Based On Partial L-Moments Method For Censored Samples. Far East Journal of Mathematical Sciences, 96 (6). pp. 671-684. ISSN 0972-0871

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Estimation of flood magnitude is a crucial component in planning, designing, and managing of water resources projects. The main focus in hydrologic design is the estimation of high flow quantile. L-moments, popular among hydrologist in flood estimation is known to be oversensitive towards the lower part of the distribution and gives insufficient weight to large sample values. As an alternative, the method of partial L-moments (PL-moments) is proposed to give weightage to the upper part of distribution and large values in censored sample. In this paper, three widely used distributions are selected namely; generalized extreme value (GEV), generalized logistic (GLO) and generalized Pareto (GPA) distribution, for the analysis of censored flood samples. Monte Carlo simulations are conducted to illustrate the performance of PL-moments compared to simple L-moments in fitting each distribution to its samples. Finally, both simple L-moments and PL-moments are used to fit the GLO distribution to two data sets of annual maximum flow series of River Ketil in Kedah and River Gemencheh in Negeri Sembilan, Malaysia.

Item Type: Article
Keywords: censored samples; floods; PL-moments; probability distribution; simulation study
Subjects: Q Science > Q Science (General)
Faculty / Institute: Faculty of Informatics & Computing
Depositing User: Dr Zahrahtul Amani Zakaria
Date Deposited: 09 Jun 2015 02:49
Last Modified: 09 Nov 2015 00:24

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