Estimation of generalized pareto distribution from censored flood samples using partial L-Moments

The use of partial L-moments (PL-moments) for estimating hydrological extremes censored data is compared to that of simple L-moments. Expressions of parameter estimation are derived to fit the generalized Pareto (GP) distribution based on PL-moments approach. A Monte Carlo analysis examined the samp...

Full description

Bibliographic Details
Main Authors: Zakaria, Zahrahtul Amani, Shabri, Ani, Ahmad, Ummi Nadiah
Format: Article
Published: Canadian Center of Science and Education 2011
Subjects:
_version_ 1796857827644407808
author Zakaria, Zahrahtul Amani
Shabri, Ani
Ahmad, Ummi Nadiah
author_facet Zakaria, Zahrahtul Amani
Shabri, Ani
Ahmad, Ummi Nadiah
author_sort Zakaria, Zahrahtul Amani
collection ePrints
description The use of partial L-moments (PL-moments) for estimating hydrological extremes censored data is compared to that of simple L-moments. Expressions of parameter estimation are derived to fit the generalized Pareto (GP) distribution based on PL-moments approach. A Monte Carlo analysis examined the sampling properties of PL-moments and the results showed that with censoring flood samples up to 0.2 are similar to those of simple L-moments. Finally, both PL-moments and L-moments are used to fit the GP distribution to 32 annual maximum flow series of River Golok in Kelantan, and it is found that PL-moments produce a better fit to the larger flow values than simple L-moments.
first_indexed 2024-03-05T19:03:38Z
format Article
id utm.eprints-39923
institution Universiti Teknologi Malaysia - ePrints
last_indexed 2024-03-05T19:03:38Z
publishDate 2011
publisher Canadian Center of Science and Education
record_format dspace
spelling utm.eprints-399232019-03-17T04:22:24Z http://eprints.utm.my/39923/ Estimation of generalized pareto distribution from censored flood samples using partial L-Moments Zakaria, Zahrahtul Amani Shabri, Ani Ahmad, Ummi Nadiah Q Science The use of partial L-moments (PL-moments) for estimating hydrological extremes censored data is compared to that of simple L-moments. Expressions of parameter estimation are derived to fit the generalized Pareto (GP) distribution based on PL-moments approach. A Monte Carlo analysis examined the sampling properties of PL-moments and the results showed that with censoring flood samples up to 0.2 are similar to those of simple L-moments. Finally, both PL-moments and L-moments are used to fit the GP distribution to 32 annual maximum flow series of River Golok in Kelantan, and it is found that PL-moments produce a better fit to the larger flow values than simple L-moments. Canadian Center of Science and Education 2011-02 Article PeerReviewed Zakaria, Zahrahtul Amani and Shabri, Ani and Ahmad, Ummi Nadiah (2011) Estimation of generalized pareto distribution from censored flood samples using partial L-Moments. Journal of Mathematics Research, 3 (1). pp. 112-120. ISSN 1916-9795 (Print); 1916-9809 (Online) http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:77292
spellingShingle Q Science
Zakaria, Zahrahtul Amani
Shabri, Ani
Ahmad, Ummi Nadiah
Estimation of generalized pareto distribution from censored flood samples using partial L-Moments
title Estimation of generalized pareto distribution from censored flood samples using partial L-Moments
title_full Estimation of generalized pareto distribution from censored flood samples using partial L-Moments
title_fullStr Estimation of generalized pareto distribution from censored flood samples using partial L-Moments
title_full_unstemmed Estimation of generalized pareto distribution from censored flood samples using partial L-Moments
title_short Estimation of generalized pareto distribution from censored flood samples using partial L-Moments
title_sort estimation of generalized pareto distribution from censored flood samples using partial l moments
topic Q Science
work_keys_str_mv AT zakariazahrahtulamani estimationofgeneralizedparetodistributionfromcensoredfloodsamplesusingpartiallmoments
AT shabriani estimationofgeneralizedparetodistributionfromcensoredfloodsamplesusingpartiallmoments
AT ahmadumminadiah estimationofgeneralizedparetodistributionfromcensoredfloodsamplesusingpartiallmoments