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In den WarenkorbHardcover. Zustand: Sehr gut. The book is unread and in very good condition. Language: English. Ships from Berlin.
Verlag: Springer International Publishing, Springer Nature Switzerland Jun 2015, 2015
ISBN 10: 3319183281 ISBN 13: 9783319183282
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch.
Verlag: Springer International Publishing, 2015
ISBN 10: 3319183281 ISBN 13: 9783319183282
Sprache: Englisch
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In den WarenkorbBuch. Zustand: 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 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.
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In den WarenkorbHardcover. Zustand: Brand New. 2015 edition. 240 pages. French language. 9.25x6.25x0.75 inches. In Stock.
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Verlag: Springer International Publishing, 2015
ISBN 10: 3319183281 ISBN 13: 9783319183282
Sprache: Englisch
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In den WarenkorbGebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First monograph entirely devoted to the subject of stable convergence Presents a clear and sound introduction to the field Includes examples of successful applications and exercise sets with solutions to illustrate the theoretical resu.
Verlag: Springer International Publishing Jun 2015, 2015
ISBN 10: 3319183281 ISBN 13: 9783319183282
Sprache: Englisch
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In den WarenkorbBuch. Zustand: 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 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. 240 pp. Englisch.
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In den WarenkorbZustand: New. Print on Demand pp. 228.
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In den WarenkorbZustand: New. PRINT ON DEMAND pp. 228.