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Dependence function for continuous bivariate densities

Communication in Statistics- Theory and MethodsPublished 1 January 1987
Paul W. Holland, Yuchung J. Wang
Citations185
SJR quartileQ3
SJR score0.46
SNIP1.02

Abstract

Abstract The notion of cross-product ratio for discrete two-way contingency table is extended to the case of continuous bivariate densities. This results in the “local dependence function” that measues the margin-free dependence between bivariate random variables. Properties and examples of the dependence function are discussed. The bivariate normal density plays a special role since it has constant dependence. Continuous bivariate densities can be constructed by specifying the dependence function along with two marginals in analogy to the construction of two-way contingency tables given marginals and patterns of interaction. The dependence function provides a partial ordering on bivariate dependence. Keywords: Cross-product ratiolocal dependence functionglobal dependence functionbivariate normalpositively dependentTP2

Keywords

ChemistryComputer ScienceAgricultural and Biological Sciences