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Title: Estimates of the covariance matrix of vectors of u-statistics and confidence regions for vectors of Kendall's tau (English)
Author: Rublík, František
Language: English
Journal: Kybernetika
ISSN: 0023-5954 (print)
ISSN: 1805-949X (online)
Volume: 52
Issue: 2
Year: 2016
Pages: 280-293
Summary lang: English
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Category: math
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Summary: Consistent estimators of the asymptotic covariance matrix of vectors of $U$-statistics are used in constructing asymptotic confidence regions for vectors of Kendall's correlation coefficients corresponding to various pairs of components of a random vector. The regions are products of intervals computed by means of a critical value from multivariate normal distribution. The regularity of the asymptotic covariance matrix of the vector of Kendall's sample coefficients is proved in the case of sampling from continuous multivariate distribution under mild conditions. The results are applied also to confidence intervals for the coefficient of agreement. The coverage and length of the obtained (multivariate) product of intervals are illustrated by simulation. (English)
Keyword: consistent estimate of asymptotic covariance matrix
Keyword: U-statistics
Keyword: vector of Kendall's coefficients
Keyword: coefficient of agreement
Keyword: confidence interval
MSC: 62G05
MSC: 62G15
idZBL: Zbl 06587899
idMR: MR3501162
DOI: 10.14736/kyb-2016-2-0280
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Date available: 2016-07-17T12:06:44Z
Last updated: 2018-01-10
Stable URL: http://hdl.handle.net/10338.dmlcz/145775
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