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Item Details
| Title:
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STABLE CONVERGENCE AND STABLE LIMIT THEOREMS
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| By: |
Erich Hausler, Harald Luschgy |
| Format: |
Hardback |
| List price:
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£74.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
3319183281 |
| ISBN 13: |
9783319183282 |
| Publisher: |
SPRINGER INTERNATIONAL PUBLISHING AG |
| Pub. date: |
9 June, 2015 |
| Edition: |
2015 ed. |
| Series: |
Probability Theory and Stochastic Modelling 74 |
| Pages: |
228 |
| 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. |
| Synopsis: |
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 Renyi, 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. |
| Illustrations: |
X, 228 p. |
| Publication: |
Switzerland |
| Imprint: |
Springer International Publishing AG |
| Returns: |
Returnable |
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