LQ-moments: parameter estimation for kappa distribution

Identification of the true statistical distributions for various hydrologic data sets is a major problem facing engineers. The four-parameter kappa distribution is a combination of the established distribution including the Generalised Extreme Value (GEV), Generalised Logistic (GL), Generalised Pare...

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Main Authors: Ani Shabri,, Abdul Aziz Jemain,
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2010
Online Access:http://journalarticle.ukm.my/7415/1/01_Md_Yeaminhossain.pdf
http://journalarticle.ukm.my/7415/
http://www.ukm.my/jsm/english_journals/vol39num5_2010/contentsVol39num5_2010.html
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spelling my-ukm.journal.74152016-12-14T06:44:00Z http://journalarticle.ukm.my/7415/ LQ-moments: parameter estimation for kappa distribution Ani Shabri, Abdul Aziz Jemain, Identification of the true statistical distributions for various hydrologic data sets is a major problem facing engineers. The four-parameter kappa distribution is a combination of the established distribution including the Generalised Extreme Value (GEV), Generalised Logistic (GL), Generalised Pareto (GP) and the Gumbel distribution were considered in this study. The main objective of this study was to develop the method of LQ-moments for the kappa distribution. The performance of the LQ-moments was compared with L-moments through eight problems using published data sets. The results show that the performance of both methods, the LQ-moments and L-moments worked equally well. Universiti Kebangsaan Malaysia 2010-10 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/7415/1/01_Md_Yeaminhossain.pdf Ani Shabri, and Abdul Aziz Jemain, (2010) LQ-moments: parameter estimation for kappa distribution. Sains Malaysiana, 39 (5). pp. 845-850. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol39num5_2010/contentsVol39num5_2010.html
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Identification of the true statistical distributions for various hydrologic data sets is a major problem facing engineers. The four-parameter kappa distribution is a combination of the established distribution including the Generalised Extreme Value (GEV), Generalised Logistic (GL), Generalised Pareto (GP) and the Gumbel distribution were considered in this study. The main objective of this study was to develop the method of LQ-moments for the kappa distribution. The performance of the LQ-moments was compared with L-moments through eight problems using published data sets. The results show that the performance of both methods, the LQ-moments and L-moments worked equally well.
format Article
author Ani Shabri,
Abdul Aziz Jemain,
spellingShingle Ani Shabri,
Abdul Aziz Jemain,
LQ-moments: parameter estimation for kappa distribution
author_facet Ani Shabri,
Abdul Aziz Jemain,
author_sort Ani Shabri,
title LQ-moments: parameter estimation for kappa distribution
title_short LQ-moments: parameter estimation for kappa distribution
title_full LQ-moments: parameter estimation for kappa distribution
title_fullStr LQ-moments: parameter estimation for kappa distribution
title_full_unstemmed LQ-moments: parameter estimation for kappa distribution
title_sort lq-moments: parameter estimation for kappa distribution
publisher Universiti Kebangsaan Malaysia
publishDate 2010
url http://journalarticle.ukm.my/7415/1/01_Md_Yeaminhossain.pdf
http://journalarticle.ukm.my/7415/
http://www.ukm.my/jsm/english_journals/vol39num5_2010/contentsVol39num5_2010.html
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score 13.211869