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Sums of Independent Random Variables

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Cover of 'Sums of Independent Random Variables'

Table of Contents

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    Book Overview
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    Chapter 1 Probability Distributions and Characteristic Functions
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    Chapter 2 Infinitely Divisible Distributions
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    Chapter 3 Some Inequalities for the Distributions of Sums of Independent Random Variables
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    Chapter 4 Theorems on Convergence to Infinitely Divisible Distributions
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    Chapter 5 Estimates of the Distance Between the Distribution of a Sum of Independent Random Variables and the Normal Distribution
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    Chapter 6 Asymptotic Expansions in the Central Limit Theorem
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    Chapter 7 Local Limit Theorems
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    Chapter 8 Probabilities of Large Deviations
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    Chapter 9 Laws of Large Numbers
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    Chapter 10 The Law of the Iterated Logarithm
Attention for Chapter 10: The Law of the Iterated Logarithm
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Chapter title
The Law of the Iterated Logarithm
Chapter number 10
Book title
Sums of Independent Random Variables
Published by
Springer, Berlin, Heidelberg, January 1975
DOI 10.1007/978-3-642-65809-9_10
Book ISBNs
978-3-64-265811-2, 978-3-64-265809-9
Authors

Valentin V. Petrov

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