Statistics Papers

Document Type

Journal Article

Date of this Version

2-2006

Publication Source

Journal of the Royal Statistical Society: Series B

Volume

68

Issue

1

Start Page

127

Last Page

133

DOI

10.1111/j.1467-9868.2005.00536.x

Abstract

Cox and Wermuth proposed that the partial derivative of the conditional distribution function of a random variable Y given another X is used for measuring association between two variables with arbitrary distributions. This paper shows the condition for collapsibility of the association measure.

Copyright/Permission Statement

This is the peer reviewed version of the following article: Ma, Z., Xie, X., Geng, Z., Uniform Collapsibility of Distribution Dependence Over a Nominal, Ordinal or Continuous Background, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9868.2005.00536.x/abstract. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving [link to http://olabout.wiley.com/WileyCDA/Section/id-820227.html#terms].

Keywords

collapsibility, distribution dependence, Yule-Simpson paradox

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Date Posted: 27 November 2017

This document has been peer reviewed.