A Normal Test for Independence via Generalized Mutual Information

Understand

Testing hypothesis of independence between two random elements on a joint alphabet is a fundamental exercise in statistics.

• Pearson's chi-squared test is an effective test for such a situation when the contingency table is relatively small.
• General statistical tools are lacking when the contingency data tables are large or sparse.
• A test based on generalized mutual information is derived and proposed in this article.