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JOURNALS // Teoriya Veroyatnostei i ee Primeneniya // Archive

Teor. Veroyatnost. i Primenen., 2023 Volume 68, Issue 1, Pages 133–146 (Mi tvp5317)

This article is cited in 3 papers

Asymptotic relative efficiency of the Kendall and Spearman correlation statistics

I. Pinelis

Department of Mathematical Sciences, Michigan Technological University, Houghton, MI, USA

Abstract: A necessary and sufficient condition for Pitman's asymptotic relative efficiency of the Kendall and Spearman correlation statistics for the independence test to be $1$ is given, in terms of certain smoothness and nondegeneracy properties of the model. Corresponding easy-to-use and broadly applicable sufficient conditions are obtained. These conditions hold for most well-known models of dependence.

Keywords: asymptotic relative efficiency, correlation statistics, Kendall's statistic, Spearman's statistic, nonparametric tests, tests of independence, association function, models of dependence.

Received: 29.04.2019
Revised: 04.08.2022
Accepted: 29.09.2022

DOI: 10.4213/tvp5317


 English version:
Theory of Probability and its Applications, 2023, 68:1, 111–122

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© Steklov Math. Inst. of RAS, 2025