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Cites:

Information Journal Paper

Title

THE EFFECT OF CORRELATION ON THE CHANGE OF ENTROPY OF THE MAXIMUM ENTROPY JOINT DISTRIBUTION

Pages

  185-197

Abstract

STOCHASTICALLY ORDERED RANDOM VARIABLES with given marginal distributions are combined into a joint distribution preserving the ordering and the marginals using a MAXIMUM ENTROPY PRINCIPLE. A closed-form of the maximum entropy density function is obtained. Next we have compared the entropies of maximum entropy distributions, under two constraints The constraints are either prescription of marginal distributions and the marginals and covariance matrix.

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  • Cite

    APA: Copy

    MANSOURY, H., & PASHA, E.. (2010). THE EFFECT OF CORRELATION ON THE CHANGE OF ENTROPY OF THE MAXIMUM ENTROPY JOINT DISTRIBUTION. JOURNAL OF STATISTICAL SCIENCES, 3(2), 185-197. SID. https://sid.ir/paper/124069/en

    Vancouver: Copy

    MANSOURY H., PASHA E.. THE EFFECT OF CORRELATION ON THE CHANGE OF ENTROPY OF THE MAXIMUM ENTROPY JOINT DISTRIBUTION. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2010;3(2):185-197. Available from: https://sid.ir/paper/124069/en

    IEEE: Copy

    H. MANSOURY, and E. PASHA, “THE EFFECT OF CORRELATION ON THE CHANGE OF ENTROPY OF THE MAXIMUM ENTROPY JOINT DISTRIBUTION,” JOURNAL OF STATISTICAL SCIENCES, vol. 3, no. 2, pp. 185–197, 2010, [Online]. Available: https://sid.ir/paper/124069/en

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