LQ-moments: Parameter estimation for kappa distribution

Ani Shabri, Abdul Aziz Jemain

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

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 showed that the performance of both methods, the LQ-moments and L-moments worked equally well.

Original languageEnglish
Pages (from-to)845-850
Number of pages6
JournalSains Malaysiana
Volume39
Issue number5
Publication statusPublished - Oct 2010

Fingerprint

statistical distribution
logistics
parameter estimation
distribution
method
parameter

Keywords

  • Kappa distribution
  • Kernel quantile
  • L-moments
  • LQ-moments

ASJC Scopus subject areas

  • General

Cite this

Shabri, A., & Jemain, A. A. (2010). LQ-moments: Parameter estimation for kappa distribution. Sains Malaysiana, 39(5), 845-850.

LQ-moments : Parameter estimation for kappa distribution. / Shabri, Ani; Jemain, Abdul Aziz.

In: Sains Malaysiana, Vol. 39, No. 5, 10.2010, p. 845-850.

Research output: Contribution to journalArticle

Shabri, A & Jemain, AA 2010, 'LQ-moments: Parameter estimation for kappa distribution', Sains Malaysiana, vol. 39, no. 5, pp. 845-850.
Shabri A, Jemain AA. LQ-moments: Parameter estimation for kappa distribution. Sains Malaysiana. 2010 Oct;39(5):845-850.
Shabri, Ani ; Jemain, Abdul Aziz. / LQ-moments : Parameter estimation for kappa distribution. In: Sains Malaysiana. 2010 ; Vol. 39, No. 5. pp. 845-850.
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