Exact variance structure of sample L-moments

被引:27
作者
Elmir, EAH
Seheult, AH
机构
[1] Univ Durham, Dept Math Sci, Sci Labs, Durham DH1 3LE, England
[2] Univ Southampton, Dept Social Sci, Southampton S017 1BJ, Hants, England
关键词
estimation; dispersion; kurtosis; L-moments; non-parametric methods; order statistics; probability-weighted moments; skewness;
D O I
10.1016/S0378-3758(03)00213-1
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Population L-moments have been proposed as alternatives to central moments for describing distribution location, dispersion and shape, and their sample estimates are unbiased. However, only asymptotic variances and covariances of their estimates have been reported. In this article, we derive expressions for exact variances and covariances of sample L-moments for any sample size n in tenus of first- and second-order moments of order statistics from small sample sizes which do not depend on n. Various applications of these result are discussed. We also derive distribution-free unbiased estimators of the variances and covariances of sample L-moments, and report the results of a simulation study to investigate and compare the sampling distributions of standardised L-moments using exact, asymptotic and estimated standard errors. In particular, a new test of symmetry is investigated. Also, approximate standard errors of ratios of sample L-moments, used to estimate ratios of population L-moments analogous to classical scaled measures of skewness and kurtosis, are exemplified. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:337 / 359
页数:23
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