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Condition: As New. Unread book in perfect condition.
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Mod-? Convergence: Normality Zones and Precise Deviations (SpringerBriefs in Probability and Mathematical Statistics)
Book 2 of 12: SpringerBriefs in Probability and Mathematical StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 43.63
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Mod- Convergence : Normality Zones and Precise Deviations
Book 2 of 12: SpringerBriefs in Probability and Mathematical StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Mod- Convergence : Normality Zones and Precise Deviations
Book 2 of 12: SpringerBriefs in Probability and Mathematical StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Brand New. 164 pages. 9.00x6.00x0.50 inches. In Stock.
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Mod-¿ Convergence : Normality Zones and Precise Deviations
Book 2 of 12: SpringerBriefs in Probability and Mathematical StatisticsLanguage: English
Published by Springer, Palgrave Macmillan, 2016
ISBN 10: 3319468219 ISBN 13: 9783319468211
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The canonical way to establish the central limit theorem for i.i.d. random variables is to use characteristic functions and Lévy's continuity theorem. This monograph focuses on this characteristic function approach and presents a renormalization theory called mod- convergence. This type of convergence is a relatively new concept with many deep ramifications, and has not previously been published in a single accessible volume. The authors construct an extremely flexible framework using this concept in order to study limit theorems and large deviations for a number of probabilistic models related to classical probability, combinatorics, non-commutative random variables, as well as geometric and number-theoretical objects.Intended for researchers in probability theory, the text is carefully well-written and well-structured, containing a great amount of detail and interesting examples.
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Taschenbuch. Condition: Neu. Mod-¿ Convergence | Normality Zones and Precise Deviations | Valentin Féray (u. a.) | Taschenbuch | SpringerBriefs in Probability and Mathematical Statistics | xii | Englisch | 2016 | Springer | EAN 9783319468211 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The canonical way to establish the central limit theorem for i.i.d. random variables is to use characteristic functions and Lévy¿s continuity theorem. This monograph focuses on this characteristic function approach and presents a renormalization theory called mod-¿ convergence. This type of convergence is a relatively new concept with many deep ramifications, and has not previously been published in a single accessible volume. The authors construct an extremely flexible framework using this concept in order to study limit theorems and large deviations for a number of probabilistic models related to classical probability, combinatorics, non-commutative random variables, as well as geometric and number-theoretical objects. Intended for researchers in probability theory, the text is carefully well-written and well-structured, containing a great amount of detail and interesting examples.
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Mod-¿ Convergence
Book 2 of 12: SpringerBriefs in Probability and Mathematical StatisticsLanguage: English
Published by Springer International Publishing Dez 2016, 2016
ISBN 10: 3319468219 ISBN 13: 9783319468211
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The canonical way to establish the central limit theorem for i.i.d. random variables is to use characteristic functions and Lévy's continuity theorem. This monograph focuses on this characteristic function approach and presents a renormalization theory called mod- convergence. This type of convergence is a relatively new concept with many deep ramifications, and has not previously been published in a single accessible volume. The authors construct an extremely flexible framework using this concept in order to study limit theorems and large deviations for a number of probabilistic models related to classical probability, combinatorics, non-commutative random variables, as well as geometric and number-theoretical objects.Intended for researchers in probability theory, the text is carefully well-written and well-structured, containing a great amount of detail and interesting examples. 164 pp. Englisch.
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Condition: new. Questo è un articolo print on demand.
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Mod-¿ Convergence
Book 2 of 12: SpringerBriefs in Probability and Mathematical StatisticsLanguage: English
Published by Springer International Publishing, 2016
ISBN 10: 3319468219 ISBN 13: 9783319468211
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First of its kind publication detailing the mod-? convergence methodWritten by leading experts in probability theoryProvides a large number of new resultsIncludes new e.
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Mod-¿ Convergence
Book 2 of 12: SpringerBriefs in Probability and Mathematical StatisticsLanguage: English
Published by Springer, Palgrave Macmillan Dez 2016, 2016
ISBN 10: 3319468219 ISBN 13: 9783319468211
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The canonical way to establish the central limit theorem for i.i.d. random variables is to use characteristic functions and Lévy's continuity theorem. This monograph focuses on this characteristic function approach and presents a renormalization theory called mod-¿ convergence. This type of convergence is a relatively new concept with many deep ramifications, and has not previously been published in a single accessible volume. The authors construct an extremely flexible framework using this concept in order to study limit theorems and large deviations for a number of probabilistic models related to classical probability, combinatorics, non-commutative random variables, as well as geometric and number-theoretical objects.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 164 pp. Englisch.
