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Probability Theory

Overview of attention for book
Cover of 'Probability Theory'

Table of Contents

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    Book Overview
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    Chapter 1 Discrete Spaces of Elementary Events
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    Chapter 2 An Arbitrary Space of Elementary Events
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    Chapter 3 Random Variables and Distribution Functions
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    Chapter 4 Numerical Characteristics of Random Variables
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    Chapter 5 Sequences of Independent Trials with Two Outcomes
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    Chapter 6 On Convergence of Random Variables and Distributions
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    Chapter 7 Characteristic Functions
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    Chapter 8 Sequences of Independent Random Variables. Limit Theorems
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    Chapter 9 Large Deviation Probabilities for Sums of Independent Random Variables
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    Chapter 10 Renewal Processes
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    Chapter 11 Properties of the Trajectories of Random Walks. Zero-One Laws
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    Chapter 12 Random Walks and Factorisation Identities
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    Chapter 13 Sequences of Dependent Trials. Markov Chains
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    Chapter 14 Information and Entropy
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    Chapter 15 Martingales
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    Chapter 16 Stationary Sequences
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    Chapter 17 Stochastic Recursive Sequences
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    Chapter 18 Continuous Time Random Processes
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    Chapter 19 Processes with Independent Increments
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    Chapter 20 Functional Limit Theorems
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    Chapter 21 Markov Processes
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    Chapter 22 Processes with Finite Second Moments. Gaussian Processes
Attention for Chapter 14: Information and Entropy
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Chapter title
Information and Entropy
Chapter number 14
Book title
Probability Theory
Published by
Springer, London, January 2013
DOI 10.1007/978-1-4471-5201-9_14
Book ISBNs
978-1-4471-5200-2, 978-1-4471-5201-9
Authors

Alexandr A. Borovkov

View on publisher site

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