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:: Volume 9, Issue 1 (9-2015) ::
JSS 2015, 9(1): 101-118 Back to browse issues page
Bivariate Maximum Entropy Density Function Under Some Measure of Entropies
Shahram Mansoury *
Abstract:   (9830 Views)
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.
Keywords: Tanejas Measure of Entropy, Burgs Measure of Entropy, Maximum Entropy Principle, Spline
Full-Text [PDF 464 kb]   (2365 Downloads)    
Type of Study: Applied | Subject: Probabilty and Applications
Received: 2014/07/11 | Accepted: 2015/05/14 | Published: 2015/05/14
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Mansoury S. Bivariate Maximum Entropy Density Function Under Some Measure of Entropies. JSS 2015; 9 (1) :101-118
URL: http://jss.irstat.ir/article-1-308-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 9, Issue 1 (9-2015) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences

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