On a test of independence for contingency tables

Abstract

Using the concept of distributional distance, a test statistic is proposed FOR the hypothesis of independence in multidimensional contingency tables. A Monte Carlo Study is done to empirically compare the power of the proposed test to the Pearson x2 and the likelihood ratio test- Further, the nonnull distribution under various spike alternatives is tabulated