DocumentCode :
1136499
Title :
On the Entropy of Compound Distributions on Nonnegative Integers
Author :
Yu, Yaming
Author_Institution :
Dept. of Stat., Univ. of California, Irvine, CA, USA
Volume :
55
Issue :
8
fYear :
2009
Firstpage :
3645
Lastpage :
3650
Abstract :
Some entropy comparison results are presented concerning compound distributions on nonnegative integers. The main result shows that, under a log-concavity assumption, two compound distributions are ordered in terms of Shannon entropy if both the ldquonumbers of claimsrdquo and the ldquoclaim sizesrdquo are ordered accordingly in the convex order. Several maximum/minimum entropy theorems follow as a consequence. Most importantly, two recent results of Johnson (2008) on maximum entropy characterizations of compound Poisson and compound binomial distributions are proved under fewer assumptions and with simpler arguments.
Keywords :
Poisson distribution; binomial distribution; maximum entropy methods; minimum entropy methods; Shannon entropy; compound Poisson distributions; compound binomial distributions; compound distributions; log-concavity assumption; maximum entropy theorems; minimum entropy theorems; nonnegative integers; Dispersion; Entropy; Insurance; Random variables; Statistics; Stochastic processes; Compound binomial; compound Poisson; convex order; infinite divisibility; log-concavity; maximum entropy; minimum entropy; random sum; stochastic orders;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2009.2023725
Filename :
5165197
Link To Document :
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