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