DocumentCode
2619954
Title
Averaging entropy
Author
Campbell, L. Lorne
Author_Institution
Dept. of Math. & Stat., Queen´´s Univ., Kingston, Ont., Canada
fYear
1994
fDate
27 Jun-1 Jul 1994
Firstpage
202
Abstract
It is pointed out that a uniform distribution of probability n-tuples is not necessarily the best distribution to use in calculating an average entropy. The noninformative prior of Bayesian statistics and certain distributions which arise in differential-geometric approaches to statistics are other candidates. The mean and variance of the entropy are calculated when probability n-tuples are distributed according to these distributions
Keywords
Bayes methods; entropy; probability; statistical analysis; Bayesian statistics; average entropy; differential-geometric approaches; mean; noninformative prior; probability n-tuples; uniform distribution; variance; Bayesian methods; Councils; Entropy; Information geometry; Length measurement; Mathematics; Probability distribution; Statistical distributions; Statistics; Tensile stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location
Trondheim
Print_ISBN
0-7803-2015-8
Type
conf
DOI
10.1109/ISIT.1994.394766
Filename
394766
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