• 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