alexa Upper and Lower Bounds on New F-Divergence in Terms of
ISSN: 2168-9679

Journal of Applied & Computational Mathematics
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Research Article

Upper and Lower Bounds on New F-Divergence in Terms of Relative J-Divergence Measure

Ram Naresh Saraswat*

Research Scholar, Department of Mathematics, Malaviya National Institute of Technology, Jaipur, Rajasthan-302017 India

*Corresponding Author:
Ram Naresh Saraswat
Research Scholar
Department of Mathematics Malaviya National Institute of Technology
Jaipur, Rajasthan-302017 India
E-mail: [email protected]

Received January 02, 2013; Accepted June 20, 2013; Published July 05, 2013

Citation: Saraswat RN (2013) Upper and Lower Bounds on New F-Divergence in Terms of Relative J-Divergence Measure. J Appl Computat Math 2:131. doi: 10.4172/2168-9679.1000131

Copyright: © 2013 Saraswat RN. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



During past years Dragomir, Taneja and Pranesh kumar have contributed a lot of work providing different kinds of bounds on the distance, information and divergence measures. These are very useful and play an important role in many areas like as Sensor Networks, Testing the order in a Markov chain, Risk for binary experiments, Region segmentation and estimation etc. In this paper, we have established an upper and lower bounds of new f-divergence measure in terms of Relative J-divergence measure. Its particular cases have also considered using a new f-divergence and inequalities.


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