Statistics Papers
Title
Uniform Collapsibility of Distribution Dependence Over a Nominal, Ordinal or Continuous Background
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
Recommended Citation
Ma, Z., Xie, X., & Geng, Z. (2006). Uniform Collapsibility of Distribution Dependence Over a Nominal, Ordinal or Continuous Background. Journal of the Royal Statistical Society: Series B, 68 (1), 127-133. http://dx.doi.org/10.1111/j.1467-9868.2005.00536.x
Date Posted: 27 November 2017
This document has been peer reviewed.