On Blest's measure of rank correlation

被引:37
作者
Genest, C [1 ]
Plante, JF [1 ]
机构
[1] Univ Laval, Dept Math & Stat, Quebec City, PQ G1K 7P4, Canada
来源
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE | 2003年 / 31卷 / 01期
关键词
concordance measure; copula; correlation; Kendall's tau; Pitman's asymptotic relative efficiency; Spearman's rho; tests of independence; BIVARIATE DISTRIBUTIONS; DEPENDENCE; FAMILY; TESTS;
D O I
10.2307/3315902
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
Blest (2000) proposed a new nonparametric measure of correlation between two random variables. His coefficient, which is dissymmetric in its arguments, emphasizes discrepancies observed among the first ranks in the orderings induced by the variables. The authors derive the limiting distribution of Blest's index and suggest symmetric variants whose merits as statistics for testing independence are explored using asymptotic relative efficiency calculations and Monte Carlo simulations.
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页码:35 / 52
页数:18
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