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Information theoretic models for dependence analysis and missing data estimation
by
D.S. Hooda
Jaypee Institute of Engineering and Technology, A.B.Road, Raghogarh, Distt. Guna-473226 INDIA
Coauthors: Dr. Parmil Kumar
In the present paper we derive a new information theoretic model for testing and measurement of dependence among attributes in a contingency table. A relationship between information theoretic measure and chi-square statistic is established and discussed with numerical problems. A new generalized information theoretic measure is defined and studied in details. Maximum entropy model for estimation of missing data in design of experiment is also explained.
Key Words: Maximum entropy principle; Contingency table; Lagrange multipliers;
Chi-square information; Latin square design and Randomized block.
Date received: July 19, 2005
Copyright © 2005 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # caqt-29.