Description

Book Synopsis
In this monograph, the author presents univariate and multivariate probabilistic inequalities with coverage on basic probabilistic entities like expectation, variance, moment generating function and covariance. These are built on the recent classical form of real analysis inequalities which are also discussed in full details. This treatise is the culmination and crystallization of the author's last two decades of research work in related discipline. Each of the chapters is self-contained and a few advanced courses can be taught out of this book. Extensive background and motivations for specific topics are given in each chapter. A very extensive list of references is also provided at the end.The topics covered in this unique book are wide-ranging and diverse. The opening chapters examine the probabilistic Ostrowski type inequalities, and various related ones, as well as the largely discusses about the Grothendieck type probabilistic inequalities. The book is also about inequalities in information theory and the Csiszar's f-Divergence between probability measures. A great section of the book is also devoted to the applications in various directions of Geometry Moment Theory. Also, the development of the Grüss type and Chebyshev-Grüss type inequalities for Stieltjes integrals and the applications in probability are explored in detail. The final chapters discuss the important real analysis methods with potential applications to stochastics. The book will be of interest to researchers and graduate students, and it is also seen as an invaluable reference book to be acquired by all science libraries as well as seminars that conduct discussions on related topics.

Table of Contents
Basic Stochastic Ostrowski Inequalities; General Probabilistic Inequalities; Optimal Estimation of Discrete Csiszar f-Divergence; Holder-Like Csiszar's f-Divergence Inequalities; Prokhorov Radius Around Zero Using Three Moment Constraints; Precise Rates of Prokhorov Convergence Using Three Moment Conditions; Discrepancies Between General Integral Means; An Expansion Formula; and other chapters.

Probabilistic Inequalities

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    A Hardback by George A Anastassiou

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      Publisher: World Scientific Publishing Co Pte Ltd
      Publication Date: Publication Date: 12/08/2009
      ISBN13: 9789814280785, 978-9814280785
      ISBN10: 981428078X

      Description

      Book Synopsis
      In this monograph, the author presents univariate and multivariate probabilistic inequalities with coverage on basic probabilistic entities like expectation, variance, moment generating function and covariance. These are built on the recent classical form of real analysis inequalities which are also discussed in full details. This treatise is the culmination and crystallization of the author's last two decades of research work in related discipline. Each of the chapters is self-contained and a few advanced courses can be taught out of this book. Extensive background and motivations for specific topics are given in each chapter. A very extensive list of references is also provided at the end.The topics covered in this unique book are wide-ranging and diverse. The opening chapters examine the probabilistic Ostrowski type inequalities, and various related ones, as well as the largely discusses about the Grothendieck type probabilistic inequalities. The book is also about inequalities in information theory and the Csiszar's f-Divergence between probability measures. A great section of the book is also devoted to the applications in various directions of Geometry Moment Theory. Also, the development of the Grüss type and Chebyshev-Grüss type inequalities for Stieltjes integrals and the applications in probability are explored in detail. The final chapters discuss the important real analysis methods with potential applications to stochastics. The book will be of interest to researchers and graduate students, and it is also seen as an invaluable reference book to be acquired by all science libraries as well as seminars that conduct discussions on related topics.

      Table of Contents
      Basic Stochastic Ostrowski Inequalities; General Probabilistic Inequalities; Optimal Estimation of Discrete Csiszar f-Divergence; Holder-Like Csiszar's f-Divergence Inequalities; Prokhorov Radius Around Zero Using Three Moment Constraints; Precise Rates of Prokhorov Convergence Using Three Moment Conditions; Discrepancies Between General Integral Means; An Expansion Formula; and other chapters.

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