Journal of the Ramanujan Mathematical Society

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Inset Measure-Generalized Directed Divergence


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

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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).
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  • Inset Measure-Generalized Directed Divergence

Abstract Views: 183  |  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).