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On the Rate of Convergence of Series of Random Variables

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On the Rate of Convergence of Series of Random Variables

Vergelijkbare producten zoals On the Rate of Convergence of Series of Random Variables

Weak Convergence of Stochastic Processes

The purpose of this book is to present results on the subject of weak convergence in function spaces to study invariance principles;

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Random Fourier Series with Applications to Harmonic Analysis. (AM-101), Volume 101

In this book the authors give the first necessary and sufficient conditions for the uniform convergence a.s. of random Fourier series on;

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Optimization Under Stochastic Uncertainty

results on the convergence and convergence rates of random search methods are presented. Moreover, for the improvement of the - sometimes very low;

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Optimization Under Stochastic Uncertainty

results on the convergence and convergence rates of random search methods are presented. Moreover, for the improvement of the - sometimes very low;

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Characterizations of Exponential Distribution by Ordered Random Variables

. The aim of the book is to present various characterizations of exponential distribution based on ordered random variables. The book is written;

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

first method is based on characteristic functions and Stein type identities when the involved sequence of random variables is itself infinitely;

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Elementary Applications of Probability Theory

simulation. Chapter six contains a lucid account of the convergence of sequences of random variables, with emphasis on the central limit theorem and;

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Elementary Applications of Probability Theory

simulation. Chapter six contains a lucid account of the convergence of sequences of random variables, with emphasis on the central limit theorem and;

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Multivariate Probability

variables Bivariate distributions and the general theory of random vectors Relationships between random variables Normal linear model and;

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Probability And Stochastic Processes

provide direct proofs of the main convergence results for sequences of random variables.The book studies a large range of distribution functions;

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Probability And Stochastic Processes

provide direct proofs of the main convergence results for sequences of random variables.The book studies a large range of distribution functions;

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Convergence of Probability Measures

smooth transitions between topics, the Second Edition boasts major revisions of the sections on dependent random variables as well as new;

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Probability and Random Processes

work. The text covers set theory, combinatorics, random variables, discrete and continuous probability, distribution functions, convergence;

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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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Asymptotics of Random Matrices and Related Models

describe a general strategy to study the fluctuations of strongly interacting random variables. This strategy is based on the asymptotic analysis;

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Recent Developments in Ordered Random Variables

The ordered random variables play important roles in the theory and practice of statistics. They possess significant statistical properties;

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Advanced Probability Theory for Biomedical Engineers

This is the third in a series of short books on probability theory and random processes for biomedical engineers. This book focuses on;

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Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables

variables is a natural extension of that of general real-valued random variables or random vectors. However, owing to the topological structure;

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Gaussian Hilbert Spaces

This book treats the very special and fundamental mathematical properties that hold for a family of Gaussian (or normal) random variables;

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Gaussian Hilbert Spaces

This book treats the very special and fundamental mathematical properties that hold for a family of Gaussian (or normal) random variables;

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Probability

on the Axioms Probability Laws II: Results of Conditioning Random Variables and Stochastic Processes Discrete Random Variables and;

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Integration, Measure and Probability

roles of random variables and limit processes in probability. The concise format and exposition offer an ideal review of the subject for;

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Sub-Independence

The concept of sub-independence is defined in terms of the convolution of the distributions of random variables, providing a stronger sense;

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Random Matrices and Non-Commutative Probability

convergence of large dimensional random matrices, with a special focus on the interesting connections to free probability. The book assumes almost no;

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Probability and Random Processes

of key interest to students and professionals in today's booming communications industry. The book includes unique chapters on narrowband random;

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