Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Theauthors 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 R�nyi, 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. 240 pp. Englisch. Codice articolo 9783319365190

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Stable Convergence and Stable Limit Theorems (Probability Theory and Stochastic Modelling) by Häusler, Erich [Paperback ]

Häusler, Erich

Editore: Springer, 2016

ISBN 10: 3319365193 ISBN 13: 9783319365190

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Soft Cover. Condizione: new. Codice articolo 9783319365190

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

H�usler, Erich; Luschgy, Harald

Editore: Springer, 2016

ISBN 10: 3319365193 ISBN 13: 9783319365190

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Stable Convergence and Stable Limit Theorems

Harald Luschgy

Editore: Springer International Publishing, 2016

ISBN 10: 3319365193 ISBN 13: 9783319365190

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Da: AHA-BUCH GmbH, Einbeck, Germania

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Theauthors 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 R�nyi, 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. Codice articolo 9783319365190

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