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Inequalities for Distributions on a Finite Interval

with basic real analysis, integration theory and probability theory. All inequalities used in the text are explicitly stated and appropriately;

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Inequalities In Analysis And Probability

inequalities in vector and functional spaces with applications to probability. It also develops new extensions of the analytical inequalities, with;

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Functional Analysis & Probability

The following topics are presented in the corresponding parts of this book: 1. Measure and Integration 2. Equations and Inequalities 3;

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Inequalities and Extremal Problems in Probability and Statistics

Inequalities and Extremal Problems in Probability and Statistics: Selected Topics presents various kinds of useful inequalities that are;

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High-Dimensional Probability

quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics;

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Multivariate Bonferroni-Type Inequalities

. The book concludes with applications of probability inequalities in molecular cancer therapy, big data analysis, and more.;

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Multivariate Bonferroni-Type Inequalities

. The book concludes with applications of probability inequalities in molecular cancer therapy, big data analysis, and more.;

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Advances in Inequalities of the Schwarz, Triangle & Heisenberg Type in Inner Product Space

, Approximation Theory, Optimisation Theory, Numerical Analysis, Probability Theory, Statistics and other fields.;

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Inequalities In Analysis And Probability (Third Edition)

The book introduces classical inequalities in vector and functional spaces with applications to probability. It develops new analytical;

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109 Inequalities from the AwesomeMath Summer Program

. Inequalities are also of great theoretical interest and pave the way towards advanced topics such as analysis, probability theory, and measure theory;

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Difference Equations and Inequalities

in probability theory, queuing and statistical problems, stochastic time series, combinatorial analysis, number theory, geometry, electrical networks;

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Difference Equations and Inequalities

in probability theory, queuing and statistical problems, stochastic time series, combinatorial analysis, number theory, geometry, electrical networks;

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Advances in Inequalities of the Schwarz, Gruss & Bessel Type in Inner Product Spaces

Differential Equations, in Nonlinear Analysis, Approximation Theory, Optimisation Theory, Numerical Analysis, Probability Theory, Statistics and other;

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Probabilistic Inequalities

integrals and the applications in probability are explored in detail. The final chapters discuss the important real analysis methods with potential;

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Advanced Inequalities

inequalities are sharp and attained. Applications in many areas of pure and applied mathematics, such as mathematical analysis, probability, ordinary;

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Generalized Mathieu Series

inequalities, asymptotic expansions and behaviors of some classes of Mathieu series are presented in this book. A systematic study of probability;

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Analysis and Probability

part of the book systematically presents concepts and results from analysis before embarking on the study of probability theory. The initial;

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Advances in Inequalities from Probability Theory & Statistics

This is the first in a series of research monographs that focus on the research, development and use of inequalities in probability and;

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Means in Mathematical Analysis

Means in Mathematical Analysis addresses developments in global analysis, non-linear analysis, and the many problems of associated;

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Fundamentals Of Probability

continuous distributions, moment generating functions, fundamental probability inequalities, the central limit theorem, and joint and conditional;

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Theory and Methods of Statistics

, and linear models, and various special topics, including nonparametrics, curve estimation, multivariate analysis, time series, and resampling;

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The Concentration of Measure Phenomenon

processes, spin glass, random matrices, etc. Prerequisites are a basic background in measure theory, functional analysis, and probability theory.;

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Concentration of Measure for the Analysis of Randomized Algorithms

applications. This book presents a coherent and unified treatment of probabilistic techniques for obtaining high probability estimates on the;

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Concentration of Measure for the Analysis of Randomized Algorithms

applications. This book presents a coherent and unified treatment of probabilistic techniques for obtaining high probability estimates on the;

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Advances in Inequalities for Series

This research monograph, deals with identities and inequalities relating to series and their application. This is the first volume;

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Decoupling

vectors, with maximal inequalities and sharp estimates on moments, which are later used to develop and interpret decoupling inequalities;

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Probability

, including chapters on inequalities, characteristic functions and convergence. This is followed by explanations of the three main subjects;

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