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August 1998 Nonlinear canonical analysis and independence tests
Jacques Dauxois, Guy Martial Nkiet
Ann. Statist. 26(4): 1254-1278 (August 1998). DOI: 10.1214/aos/1024691242

Abstract

.Measures of association between two random variables (r.v.) that are symmetric nondecreasing functions of the canonical coefficients provided by the nonlinear canonical analysis of the r.v.’s are studied. These measures can be used to characterize independence. Their estimators are obtained by estimating a suitable approximation to nonlinear canonical analysis. When some conditions are satisfied, asymptotic distributions of the estimators, both under the independence hypothesis and under dependence, are given. A class of tests of independence with asymptotic level of significance can be investigated.

Citation

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Jacques Dauxois. Guy Martial Nkiet. "Nonlinear canonical analysis and independence tests." Ann. Statist. 26 (4) 1254 - 1278, August 1998. https://doi.org/10.1214/aos/1024691242

Information

Published: August 1998
First available in Project Euclid: 21 June 2002

zbMATH: 0934.62061
MathSciNet: MR1647653
Digital Object Identifier: 10.1214/aos/1024691242

Subjects:
Primary: 62H20
Secondary: 62G10 , 62H15

Keywords: approximating and estimating nonlinear canonical analysis , independence tests , Measure of association , nonlinear canonical analysis , symmetric nondecreasing functions

Rights: Copyright © 1998 Institute of Mathematical Statistics

Vol.26 • No. 4 • August 1998
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