Journal of Applied & Computational Mathematics

ISSN: 2168-9679

Open Access

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


Ram Naresh Saraswat

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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Journal of Applied & Computational Mathematics received 1097 citations as per Google Scholar report

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