IJPAM: Volume 116, No. 3 (2017)

Title

TWO NEW WEIGHTED DIVERGENCE MEASURES
IN PROBABILITY SPACES

Authors

Om Parkash$^1$, Rakesh Kumar$^2$, Priyanka Kakkar$^3$
$^{1,2,3}$Department of Mathematics
Guru Nanak Dev University
Amritsar, 143005, INDIA

Abstract

It is known that the measures of distance in metric spaces are not adequate to find applications in all disciplines of mathematical sciences. Thus, the inevitability arises for the development of a variety of generalized measures of distance in probability spaces so as to extend the scale of their applications. The present communication is a step in this direction and deals with the growth of two new measures of distance for the discrete probability distributions so as to provide their applications in furtherance of our research findings.

History

Received: 2017-04-28
Revised: 2017-06-27
Published: October 26, 2017

AMS Classification, Key Words

AMS Subject Classification: 94A15, 94A17
Key Words and Phrases: probability distributions, weighted divergence, continuous function, convex function, permutationally symmetric function

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Bibliography

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How to Cite?

DOI: 10.12732/ijpam.v116i3.10 How to cite this paper?

Source:
International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2017
Volume: 116
Issue: 3
Pages: 643 - 653


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