On the Covariance between Functions
The covariance between the functions of two random variables is obtained in terms of the cumulative distribution function. This result generalizes previous formulae given by W. Hoeffding (1940, Schriften Math. Inst. Univ. Berlin5, 181-233) and K. V. Mardia (1967, Biometrika54, 235-249). An expansion for the covariance, an inequality, a maximum correlation and other consequences are obtained from this generalization.
Year of publication: |
2002
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Authors: | Cuadras, C. M. |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 81.2002, 1, p. 19-27
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Publisher: |
Elsevier |
Keywords: | Hoeffding's lemma given marginals generalized covariance covariance expansion Heaviside distribution maximum correlation |
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