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Nonconventional Limit Theorems And Random Dynamics

The book is devoted to limit theorems for nonconventional sums and arrays. Asymptotic behavior of such sums were first studied in ergodic;

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Limit Theorems in Change-Point Analysis

Change-point problems arise in a variety of experimental and mathematical sciences, as well as in engineering and health sciences. This;

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On Central Limit Theorems in Geometrical Probability

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On Central Limit Theorems in Geometrical Probability

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Studies in the Theory of Random Processes

limit theorems for Markov processes. Specialists, researchers, and students in the field of probability will find it a source of important;

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Approximation Theorems of Mathematical Statistics

This paperback reprint of one of the best in the field covers a broad range of limit theorems useful in mathematical statistics, along with;

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Introduction to the Theory of Point Processes

This is the second volume of the reworked second edition of a key work on Point Process Theory. Fully revised and updated by the authors;

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Introduction to the Theory of Point Processes

This is the second volume of the reworked second edition of a key work on Point Process Theory. Fully revised and updated by the authors;

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Random Matrices And Random Partitions

This book is aimed at graduate students and researchers who are interested in the probability limit theory of random matrices and random;

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Limit Theorems for Stochastic Processes

the point of view of semimartingale theory. It emphasizes results that are useful for mathematical theory and mathematical statistics;

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Limit Distributions for Sums of Independent Random Vectors

A comprehensive introduction to the central limit theory-from foundations to current research This volume provides an introduction to the;

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Ergodic Behavior of Markov Processes

with complicated structure. The second part is devoted to the application of these methods to limit theorems for functionals of Markov;

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Statistics for the 21st Century

and accuracy of the sequential bootstrap, hypothesis testing, geometry in multivariate analysis, the classical extreme value model, the;

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Limit Theorems in Probability, Statistics and Number Theory

Limit theorems and asymptotic results form a central topic in probability theory and mathematical statistics. New and non-classical limit;

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Elementary Fixed Point Theorems

central limit theorem. It also provides a proof of the converse of the contraction principle due to Jachymski, a proof of fixed point theorem for;

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The Limit Shape Problem for Ensembles of Young Diagrams

scaling limit for the profiles of Young diagrams. This problem is regarded as an important origin of recent vital studies on harmonic analysis;

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Measure Theory and Integration

measure space, and to the major limit theorems, such as the Monotone and Dominated Convergence Theorems. The treatment proceeds to $L^p$ spaces;

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Heads or Tails

these limit theorems accessible by stating everything in terms of a game of tossing of a coin: heads or tails. In this way, the analysis becomes;

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Multiple Fixed-Point Theorems and Applications in the Theory of ODEs, FDEs and PDEs

Multiple Fixed-Point Theorems and Applications in the Theory of ODEs, FDEs and PDEs covers all the basics of the subject of fixed-point;

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Stochastic Geometry, Spatial Statistics and Random Fields: Asymptotic Methods

is focused on asymptotic methods in geometric probability including weak and strong limit theorems for random spatial structures (point processes;

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Uniform Central Limit Theorems

and probability measures. The first half of the book gives an exposition of real analysis: basic set theory, general topology, measure theory;

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Weak Convergence of Stochastic Processes

in statistical applications to dependent random variables, U-statistics, censor data analysis. Different techniques, formerly available only in a broad;

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Probability The Classical Limit Theorems

investigates its ramifications. Assuming a good working knowledge of basic analysis, real and complex, the author maps out a route from basic;

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Probability: The Classical Limit Theorems

investigates its ramifications. Assuming a good working knowledge of basic analysis, real and complex, the author maps out a route from basic;

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Limit Theorems For Nonlinear Cointegrating Regression

This book provides the limit theorems that can be used in the development of nonlinear cointegrating regression. The topics include weak;

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Multidimensional Stochastic Processes As Rough Paths

stochastic analysis (existence and limit theorems for stochastic flows, Freidlin-Wentzell theory, the Stroock-Varadhan support description) can be;

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Regular Variation

. In many limit theorems regular variation is intrinsic to the result, and exactly characterises the limit behaviour. The book emphasises such;

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