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Computational Statistics & Data Analysis
Article . 2008 . Peer-reviewed
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Article . 2008
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https://dx.doi.org/10.48550/ar...
Article . 2007
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Article . 2008
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Characterizing the generalized lambda distribution by L-moments

Authors: Juha Karvanen; Arto Nuutinen;

Characterizing the generalized lambda distribution by L-moments

Abstract

The generalized lambda distribution (GLD) is a flexible four parameter distribution with many practical applications. L-moments of the GLD can be expressed in closed form and are good alternatives for the central moments. The L-moments of the GLD up to an arbitrary order are presented, and a study of L-skewness and L-kurtosis that can be achieved by the GLD is provided. The boundaries of L-skewness and L-kurtosis are derived analytically for the symmetric GLD and calculated numerically for the GLD in general. Additionally, the contours of L-skewness and L-kurtosis are presented as functions of the GLD parameters. It is found that with an exception of the smallest values of L-kurtosis, the GLD covers all possible pairs of L-skewness and L-kurtosis and often there are two or more distributions that share the same L-skewness and the same L-kurtosis. Examples that demonstrate situations where there are four GLD members with the same L-skewness and the same L-kurtosis are presented. The estimation of the GLD parameters is studied in a simulation example where method of L-moments compares favorably to more complicated estimation methods. The results increase the knowledge on the distributions that belong to the GLD family and can be utilized in model selection and estimation.

Revised version, accepted for publication

Related Organizations
Keywords

FOS: Computer and information sciences, method of moments, kurtosis, skewness, Point estimation, Mathematics - Statistics Theory, method of L-moments, Statistics Theory (math.ST), L-moment ratio diagram, Methodology (stat.ME), Characterization and structure theory of statistical distributions, FOS: Mathematics, Computational methods for problems pertaining to statistics, Statistics - Methodology, 60E05, 62E10, 62G30

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
38
Top 10%
Top 10%
Top 10%
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