Generalized Symmetric Divergence Measures and Inequalities

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dc.creatorTaneja, Inder Jeet
dc.date2005-01-19
dc.date.accessioned2026-07-07T08:06:40Z
dc.date.available2026-07-07T08:06:40Z
dc.descriptionThere are three classical divergence measures known in the literature on information theory and statistics. These are namely, Jeffryes-Kullback-Leiber \cite{jef} \cite{kul} \textit{J-divergence}. Sibson-Burbea-Rao \cite{sib} \cite{bur1, bur2} \textit{Jensen-Shannon divegernce}and Taneja \cite{tan3} \textit{Arithemtic-Geometric divergence}. These three measures bears an interesting relationship among each other. The divergence measures like \textit{Hellinger discrimination}, \textit{symmetric}$χ^2 - $\textit{divergence}, and \textit{triangular discrimination} are also known in the literature. All these measures can be written as particular cases of Csiszár's \textit{f-divergence}. Recently, author proved an inequality relating all the six measures. In this paper our aim is to give one parametric generalizations of the above measures and established relationships among them. A new measure similar to \textit{Hellinger's} and \textit{triangular discriminations} is also derived.
dc.descriptionThis paper is a part of author's chapter to appear in 'Advances in Imaging and Electron Physics', 2005, Elsevier Publication
dc.identifierhttps://arxiv.org/abs/math/0501301
dc.identifierhttp://arxiv.org/abs/math/0501301
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130683
dc.subjectStatistics Theory
dc.titleGeneralized Symmetric Divergence Measures and Inequalities
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