Title :
Averaging entropy
Author :
Campbell, L. Lorne
Author_Institution :
Dept. of Math. & Stat., Queen´´s Univ., Kingston, Ont., Canada
fDate :
27 Jun-1 Jul 1994
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;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394766
