BIVARIATE MAXIMUM ENTROPY DENSITY FUNCTION UNDER SOME MEASURE OF ENTROPIES

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MANSOURY SHAHRAM

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Journal: JOURNAL OF STATISTICAL SCIENCES Year:2015 | Volume:9 | Issue:1 Page(s): 101-118

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Information Journal Paper

Title

BIVARIATE MAXIMUM ENTROPY DENSITY FUNCTION UNDER SOME MEASURE OF ENTROPIES

Author(s)

MANSOURY SHAHRAM | Issue Writer Certificate

Keywords

TANEJAS MEASURE OF ENTROPYQ2

BURGS MEASURE OF ENTROPYQ2

MAXIMUM ENTROPY PRINCIPLEQ3

SPLINEQ2

Abstract

Jaynes'' principle of maximum entropy states that among all the probability distributions satisfying some constraints, one should be selected which has maximum uncertainty. In this paper, we consider the methods of obtaining maximum entropy bivariate density functions via Taneja and Burg''s measure of entropy under the constraints that the marginal distributions and correlation coefficient are prescribed. Next, a numerical method is considered. Finally, each method is illustrated via a numerical example.

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APA: Copy

MANSOURY, SHAHRAM. (2015). BIVARIATE MAXIMUM ENTROPY DENSITY FUNCTION UNDER SOME MEASURE OF ENTROPIES. JOURNAL OF STATISTICAL SCIENCES, 9(1), 101-118. SID. https://sid.ir/paper/124132/en

Vancouver: Copy

MANSOURY SHAHRAM. BIVARIATE MAXIMUM ENTROPY DENSITY FUNCTION UNDER SOME MEASURE OF ENTROPIES. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2015;9(1):101-118. Available from: https://sid.ir/paper/124132/en

IEEE: Copy

SHAHRAM MANSOURY, “BIVARIATE MAXIMUM ENTROPY DENSITY FUNCTION UNDER SOME MEASURE OF ENTROPIES,” JOURNAL OF STATISTICAL SCIENCES, vol. 9, no. 1, pp. 101–118, 2015, [Online]. Available: https://sid.ir/paper/124132/en

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