**S.S. Dragomir
**

*Preface*

One of the important issues in many applications of
Probability Theory is finding an appropriate measure of These measures have been applied in a variety of fields
such as: anthropology, genetics, finance, economics, political science,
biology, the analysis of contingency tables, approximation of
probability distributions, signal processing and pattern recognition. A
number of these measures of distance are specific cases of Csiszár The main aim of the present collection of papers written
by some members of the RGMIA (Research Group in
Mathematical Inequalities and Applications) is to prove the fact
that the In the Chapter I,
by using convexity arguments and recent developments on Jensen type
inequalities, some new bounds for Csiszár In Chapter II, the
general Csiszár Using Taylor's expansion and recent generalisations of
Taylor's formula, in Chapter III,
accurate approximations of Csiszár Finally, in Chapter IV
and by the use of some Ostrowski type inequalities, the authors point
out some natural connections between Csiszár
S.S. Dragomir |

*Note*: This book is not in final form. The Editor
invites researchers with comments to contact him for their results to be included in a new version.

To reference this book, please use the following:

S.S. DRAGOMIR (Ed.), *Inequalities for Csiszár f-Divergence in Information Theory*, RGMIA Monographs, Victoria
University, 2000. (ONLINE: http://ajmaa.org/RGMIA/monographs.php/).