Stable Convergence and Stable Limit Theorems: 74 (Probability Theory and Stochastic Modelling, 74) - Image 1

£67.81

Springer Stable Convergence and Stable Limit Theorems: 74 (Probability Theory and Stochastic Modelling, 74)

Name: Stable Convergence and Stable Limit Theorems: 74 (Probability Theory and Stochastic Modelling, 74)
Brand: Springer
Price: 67.81 GBP
Availability: InStock

Applied Mathematics

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Description

The authors present a concise but complete exposition of the mathematical theory of stable convergence and give various applications in different areas of probability theory and mathematical statistics to illustrate the usefulness of this concept. Stable convergence holds in many limit theorems of probability theory and statistics – such as the classical central limit theorem – which are usually formulated in terms of convergence in distribution. Originated by Alfred Rényi, the notion of stable convergence is stronger than the classical weak convergence of probability measures. A variety of methods is described which can be used to establish this stronger stable convergence in many limit theorems which were originally formulated only in terms of weak convergence. Naturally, these stronger limit theorems have new and stronger consequences which should not be missed by neglecting the notion of stable convergence. The presentation will be accessible to researchers and advanced students at the master's level with a solid knowledge of measure theoretic probability.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3319365193
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 15 October 2016
Listed Since: 07 October 2016

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Springer Stable Convergence and Stable Limit Theorems: 74 (Probability Theory and Stochastic Modelling, 74)

About as cheap as it gets. The only time it was cheaper was 3 months ago.

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