Advances in Inequalities from Probability Theory and Statistics

Advances in Inequalities from Probability Theory and Statistics PDF

Author: Neil S. Barnett

Publisher: Nova Publishers

Published: 2008

Total Pages: 244

ISBN-13: 9781600219436

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This is the first in a series of research monographs that focus on the research, development and use of inequalities in probability and statistics. All of the papers have been peer refereed and this first edition covers a range of topics that include both survey material of published work as well as new results appearing in print for the first time.

Advances in Inequalities for Series

Advances in Inequalities for Series PDF

Author: Sever Silvestru Dragomir

Publisher: Nova Publishers

Published: 2008

Total Pages: 252

ISBN-13: 9781600219207

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This research monograph, deals with identities and inequalities relating to series and their application. This is the first volume of research monographs on advances in inequalities for series. All of the papers in this volume have been fully peer reviewed. Some papers in this volume appear in print for the first time, detailing many technical results and some other papers offer a review of a number of recently published results. The papers appear in author alphabetical order and not in mathematics subject classification. There are fifteen diverse papers in this volume each with its own speciality. An important issue in many applications of Probability Theory is finding an approximate measure of distance, or discrimination, between two probability distributions. A number of divergence measures for this purpose have been proposed.

Advances in Inequalities of the Schwarz, Grüss, and Bessel Type in Inner Product Spaces

Advances in Inequalities of the Schwarz, Grüss, and Bessel Type in Inner Product Spaces PDF

Author: Sever Silvestru Dragomir

Publisher: Nova Publishers

Published: 2005

Total Pages: 266

ISBN-13: 9781594542022

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The theory of Hilbert spaces plays a central role in contemporary mathematics with numerous applications for Linear Operators, Partial Differential Equations, in Nonlinear Analysis, Approximation Theory, Optimisation Theory, Numerical Analysis, Probability Theory, Statistics and other fields. The Schwarz, triangle, Bessel, Gram and most recently, Grüss type inequalities have been frequently used as powerful tools in obtaining bounds or estimating the errors for various approximation formulae occurring in the domains mentioned above. Therefore, any new advancement related to these fundamental facts will have a flow of important consequences in the mathematical fields where these inequalities have been used before.

Inequalities in Statistics and Probability

Inequalities in Statistics and Probability PDF

Author:

Publisher:

Published: 2008*

Total Pages: 253

ISBN-13:

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This e-book is the product of Project Euclid and its mission to advance scholarly communication in the field of theoretical and applied mathematics and statistics. Project Euclid was developed and deployed by the Cornell University Library and is jointly managed by Cornell and the Duke University Press.

High-Dimensional Probability

High-Dimensional Probability PDF

Author: Roman Vershynin

Publisher: Cambridge University Press

Published: 2018-09-27

Total Pages: 299

ISBN-13: 1108415199

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An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Advanced Inequalities

Advanced Inequalities PDF

Author: George A Anastassiou

Publisher: World Scientific

Published: 2010-10-26

Total Pages: 423

ISBN-13: 9814464341

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This monograph presents univariate and multivariate classical analyses of advanced inequalities. This treatise is a culmination of the author's last thirteen years of research work. The chapters are self-contained and several advanced courses can be taught out of this book. Extensive background and motivations are given in each chapter with a comprehensive list of references given at the end.The topics covered are wide-ranging and diverse. Recent advances on Ostrowski type inequalities, Opial type inequalities, Poincare and Sobolev type inequalities, and Hardy-Opial type inequalities are examined. Works on ordinary and distributional Taylor formulae with estimates for their remainders and applications as well as Chebyshev-Gruss, Gruss and Comparison of Means inequalities are studied.The results presented are mostly optimal, that is the inequalities are sharp and attained. Applications in many areas of pure and applied mathematics, such as mathematical analysis, probability, ordinary and partial differential equations, numerical analysis, information theory, etc., are explored in detail, as such this monograph is suitable for researchers and graduate students. It will be a useful teaching material at seminars as well as an invaluable reference source in all science libraries.

Probability and Statistics

Probability and Statistics PDF

Author: Michael J. Evans

Publisher: Macmillan

Published: 2004

Total Pages: 704

ISBN-13: 9780716747420

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Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods. *Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.

Advances in Mathematical Inequalities and Applications

Advances in Mathematical Inequalities and Applications PDF

Author: Praveen Agarwal

Publisher: Springer

Published: 2018-12-31

Total Pages: 349

ISBN-13: 9811330131

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This book is a collection of original research and survey articles on mathematical inequalities and their numerous applications in diverse areas of mathematics and engineering. It includes chapters on convexity and related concepts; inequalities for mean values, sums, functions, operators, functionals, integrals and their applications in various branches of mathematics and related sciences; fractional integral inequalities; and weighted type integral inequalities. It also presents their wide applications in biomathematics, boundary value problems, mechanics, queuing models, scattering, and geomechanics in a concise, but easily understandable way that makes the further ramifications and future directions clear. The broad scope and high quality of the contributions make this book highly attractive for graduates, postgraduates and researchers. All the contributing authors are leading international academics, scientists, researchers and scholars.

Inequalities for Distributions on a Finite Interval

Inequalities for Distributions on a Finite Interval PDF

Author: Neil S. Barnett

Publisher:

Published: 2008

Total Pages: 256

ISBN-13:

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This book provides a primer in inequalities in applied probability theory and statistics. It is intended to be useful to both graduate students and established researchers working in Probability Theory and Statistics, Analytic Integral Inequalities and their applications in demography, economics, physics, biology and other scientific areas. The book is self-contained in the sense that the reader needs only to be familiar with basic real analysis, integration theory and probability theory. All inequalities used in the text are explicitly stated and appropriately referenced.