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Estimation of the generalized logistic distribution of extreme events using partial l-moments

Statistical analysis of extreme events is often carried out to predict large return period events. In this paper, the use of partial L-moments (PL-moments) for estimating hydrological extremes from censored data is compared to that of simple L-moments. Expressions of parameter estimation are derived...

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Main Authors: Zakaria, Zahratul Amani, Shabri, Ani, Ahmad, Ummi Nadiah
Format: Article
Published: 2012
Subjects:
GB Physical geography
Online Access:http://eprints.utm.my/id/eprint/46934/
http://dx.doi.org/10.1080/02626667.2012.658400
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spelling my.utm.469342017-09-27T01:55:56Z http://eprints.utm.my/id/eprint/46934/ Estimation of the generalized logistic distribution of extreme events using partial l-moments Zakaria, Zahratul Amani Shabri, Ani Ahmad, Ummi Nadiah GB Physical geography Statistical analysis of extreme events is often carried out to predict large return period events. In this paper, the use of partial L-moments (PL-moments) for estimating hydrological extremes from censored data is compared to that of simple L-moments. Expressions of parameter estimation are derived to fit the generalized logistic (GLO) distribution based on the PL-moments approach. Monte Carlo analysis is used to examine the sampling properties of PL-moments in fitting the GLO distribution to both GLO and non-GLO samples. Finally, both PL-moments and L-moments are used to fit the GLO distribution to 37 annual maximum rainfall series of raingauge station Kampung Lui (3118102) in Selangor, Malaysia, and it is found that analysis of censored rainfall samples of PL-moments would improve the estimation of large return period events. 2012 Article PeerReviewed Zakaria, Zahratul Amani and Shabri, Ani and Ahmad, Ummi Nadiah (2012) Estimation of the generalized logistic distribution of extreme events using partial l-moments. Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, 57 (3). pp. 424-432. ISSN 0262-6667 http://dx.doi.org/10.1080/02626667.2012.658400
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic GB Physical geography
spellingShingle GB Physical geography
Zakaria, Zahratul Amani
Shabri, Ani
Ahmad, Ummi Nadiah
Estimation of the generalized logistic distribution of extreme events using partial l-moments
description Statistical analysis of extreme events is often carried out to predict large return period events. In this paper, the use of partial L-moments (PL-moments) for estimating hydrological extremes from censored data is compared to that of simple L-moments. Expressions of parameter estimation are derived to fit the generalized logistic (GLO) distribution based on the PL-moments approach. Monte Carlo analysis is used to examine the sampling properties of PL-moments in fitting the GLO distribution to both GLO and non-GLO samples. Finally, both PL-moments and L-moments are used to fit the GLO distribution to 37 annual maximum rainfall series of raingauge station Kampung Lui (3118102) in Selangor, Malaysia, and it is found that analysis of censored rainfall samples of PL-moments would improve the estimation of large return period events.
format Article
author Zakaria, Zahratul Amani
Shabri, Ani
Ahmad, Ummi Nadiah
author_facet Zakaria, Zahratul Amani
Shabri, Ani
Ahmad, Ummi Nadiah
author_sort Zakaria, Zahratul Amani
title Estimation of the generalized logistic distribution of extreme events using partial l-moments
title_short Estimation of the generalized logistic distribution of extreme events using partial l-moments
title_full Estimation of the generalized logistic distribution of extreme events using partial l-moments
title_fullStr Estimation of the generalized logistic distribution of extreme events using partial l-moments
title_full_unstemmed Estimation of the generalized logistic distribution of extreme events using partial l-moments
title_sort estimation of the generalized logistic distribution of extreme events using partial l-moments
publishDate 2012
url http://eprints.utm.my/id/eprint/46934/
http://dx.doi.org/10.1080/02626667.2012.658400
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score 13.244369

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