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Limit Theorems for Large Deviations
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
The Main Notions
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Chapter 2
The Main Lemmas
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Chapter 3
Theorems on Large Deviations for the Distributions of Sums of Independent Random Variables
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Chapter 4
Theorems of Large Deviations for Sums of Dependent Random Variables
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Chapter 5
Theorems of Large Deviations for Polynomial Forms, Multiple Stochastic Integrals and Statistical Estimates
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Chapter 6
Asymptotic Expansions in the Zones of Large Deviations
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Chapter 7
Probabilities of Large Deviations for Random Vectors
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
Book overview
1. The Main Notions
2. The Main Lemmas
3. Theorems on Large Deviations for the Distributions of Sums of Independent Random Variables
4. Theorems of Large Deviations for Sums of Dependent Random Variables
5. Theorems of Large Deviations for Polynomial Forms, Multiple Stochastic Integrals and Statistical Estimates
6. Asymptotic Expansions in the Zones of Large Deviations
7. Probabilities of Large Deviations for Random Vectors
Summary
Syllabi
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
1
syllabus from an institution on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Unknown
1
Classics, Languages and Literature (Modern, Theology and Religious Education, Biology