Characterizing the generalized lambda distribution by L-moments

dc.creatorKarvanen, Juha
dc.creatorNuutinen, Arto
dc.date2007-01-15
dc.date2007-06-26
dc.date.accessioned2026-07-07T09:19:08Z
dc.date.available2026-07-07T09:19:08Z
dc.descriptionThe 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.
dc.descriptionRevised version, accepted for publication
dc.identifierhttps://arxiv.org/abs/math/0701405
dc.identifierhttp://arxiv.org/abs/math/0701405
dc.identifierComputational Statistics & Data Analysis 2008, Vol. 52, 1971-1983
dc.identifierdoi:10.1016/j.csda.2007.06.021
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/154280
dc.subjectStatistics Theory
dc.subjectMethodology
dc.subject60E05, 62E10, 62G30
dc.titleCharacterizing the generalized lambda distribution by L-moments
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