Bounds On Triangular Discrimination, Harmonic Mean and Symmetric Chi-square Divergences

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dc.creatorTaneja, Inder Jeet
dc.date2005-05-12
dc.date.accessioned2026-07-07T05:19:49Z
dc.date.available2026-07-07T05:19:49Z
dc.descriptionThere are many information and divergence measures exist in the literature on information theory and statistics. The most famous among them are Kullback-Leiber relative information and Jeffreys J-divergence. The measures like, Bhattacharya distance, Hellinger discrimination, Chi-square divergence, triangular discrimination and harmonic mean divergence are also famous in the literature on statistics. In this paper we have obtained bounds on triangular discrimination and symmetric chi-square divergence in terms of relative information of type s using Csiszar's f-divergence. A relationship among triangular discrimination and harmonic mean divergence is also given.
dc.descriptionTo appear in: Journal of Concrete and Applicable Mathematics, 2005
dc.identifierhttps://arxiv.org/abs/math/0505238
dc.identifierhttp://arxiv.org/abs/math/0505238
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/75161
dc.subjectProbability
dc.subject94A17; 26D15
dc.titleBounds On Triangular Discrimination, Harmonic Mean and Symmetric Chi-square Divergences
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