Title :
On the Entropy of Compound Distributions on Nonnegative Integers
Author_Institution :
Dept. of Stat., Univ. of California, Irvine, CA, USA
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;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2009.2023725