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Some Limit Theorems in Statistics

A discussion of some topics in the theory of large deviations such as moment-generating functions an;...

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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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Reproducing Kernel Hilbert Spaces in Probability and Statistics

more fruitful and promising applications, including statistical signal processing, nonparametric curve estimation, random measures, limit;

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Spectral Theory Of Large Dimensional Random Matrices And Its Applications To Wireless Communications And Finance Statistics

obtained under finite moment conditions, such as the limiting spectral distributions of Wigner matrix and that of large dimensional sample;

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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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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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On the Estimation of Multiple Random Integrals and U-Statistics

This work starts with the study of those limit theorems in probability theory for which classical methods do not work. In many cases some;

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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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Robust & Non-Robust Models in Statistics

pre-limit theorem, providing a careful definition and characterisation of the limiting distributions. Then, they consider pre-limiting;

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Probability and Statistics in Experimental Physics

simulations; multi-dimensional distributions; the central limit theorem; inverse probability and confidence limits; estimation methods; curve fitting;

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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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Limit Theorems For Associated Random Fields And Related Systems

and other models are provided. For such random systems, it is worthwhile to establish principal limit theorems of the modern probability;

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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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Limit Theorems for Stochastic Processes

This volume by two international leaders in the field proposes a systematic exposition of convergenc;...

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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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Weak Convergence of Stochastic Processes

Weak convergence in metric spaces Weak convergence on C[0, 1] and D[0, ) Central limit theorem for semi-martingales and applications Central;

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Statistics for the 21st Century

, pre- and post-limit theorems, and more.;

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Random Summation

develop. Attention is mainly focused on transfer theorems, description of the classes of limit laws, and criteria for convergence;

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Random Summation

develop. Attention is mainly focused on transfer theorems, description of the classes of limit laws, and criteria for convergence;

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CPT Invariance and the Spin-Statistics Connection

This book seeks to answer the question What explains CPT invariance and the spin-statistics connect;...

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Introduction to Probability and Statistics

probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit;

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Introduction to Probability and Statistics

probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit;

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Products of Random Variables

Products of Random Variables explores the theory of products of random variables through from distributions and limit theorems, to;

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On Stein's Method for Infinitely Divisible Laws with Finite First Moment

This book focuses on quantitative approximation results for weak limit theorems when the target limiting law is infinitely divisible with;

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Normal Approximations with Malliavin Calculus

of variations, in order to deduce quantitative central limit theorems involving functionals of general Gaussian fields. This book provides an ideal;

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