Journal of the Ramanujan Mathematical Society

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Inset Measure-Generalized Directed Divergence


Affiliations
1 Department of Pure Mathematics, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada
     

   Subscribe/Renew Journal


The general form of symmetric, recursive and regular (measurable) inset divergences of randomized systems of events are obtained in the framework of the mixed theory of information, which include as special cases the purely probabilistic measures such as the Shannon's entropy, the inaccuracy, the directed divergence and the generalized directed divergence (the information improvement).
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 222

PDF Views: 0




  • Inset Measure-Generalized Directed Divergence

Abstract Views: 222  |  PDF Views: 0

Authors

P. L. Kannappan
Department of Pure Mathematics, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada

Abstract


The general form of symmetric, recursive and regular (measurable) inset divergences of randomized systems of events are obtained in the framework of the mixed theory of information, which include as special cases the purely probabilistic measures such as the Shannon's entropy, the inaccuracy, the directed divergence and the generalized directed divergence (the information improvement).