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ISBN 10 : 3319468219 ISBN 13 : 9783319468211
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ISBN 10 : 3319468219 ISBN 13 : 9783319468211
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Ajouter au panierPaperback. Etat : New. 1st ed. 2016. 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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Edité par Springer International Publishing AG, CH, 2016
ISBN 10 : 3319468219 ISBN 13 : 9783319468211
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Ajouter au panierPaperback. Etat : New. 1st ed. 2016. 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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Edité par Springer International Publishing, 2016
ISBN 10 : 3319468219 ISBN 13 : 9783319468211
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Ajouter au panierKartoniert / Broschiert. Etat : New. 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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Edité par Springer International Publishing, Springer International Publishing, 2016
ISBN 10 : 3319468219 ISBN 13 : 9783319468211
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Ajouter au panierTaschenbuch. Etat : 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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ISBN 10 : 3319468219 ISBN 13 : 9783319468211
Langue: anglais
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Ajouter au panierEtat : New. Series: SpringerBriefs in Probability and Mathematical Statistics. Num Pages: 152 pages, 8 black & white illustrations, 9 colour illustrations, 15 colour tables, biography. BIC Classification: PBF; PBH; PBT; PBV. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 9. Weight in Grams: 261. . 2016. 1st ed. 2016. Paperback. . . . .
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Ajouter au panierEtat : New. pp. 152.
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Ajouter au panierPaperback. Etat : Brand New. 164 pages. 9.00x6.00x0.50 inches. In Stock.
Edité par Springer/Sci-Tech/Trade, 2016
ISBN 10 : 3319468219 ISBN 13 : 9783319468211
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Ajouter au panierEtat : New. Series: SpringerBriefs in Probability and Mathematical Statistics. Num Pages: 152 pages, 8 black & white illustrations, 9 colour illustrations, 15 colour tables, biography. BIC Classification: PBF; PBH; PBT; PBV. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 9. Weight in Grams: 261. . 2016. 1st ed. 2016. Paperback. . . . . Books ship from the US and Ireland.
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Edité par Springer International Publishing Dez 2016, 2016
ISBN 10 : 3319468219 ISBN 13 : 9783319468211
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierTaschenbuch. Etat : 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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Ajouter au panierPaperback. Etat : Brand New. 164 pages. 9.00x6.00x0.50 inches. In Stock. This item is printed on demand.
Edité par Springer International Publishing, Springer International Publishing Dez 2016, 2016
ISBN 10 : 3319468219 ISBN 13 : 9783319468211
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Ajouter au panierTaschenbuch. Etat : 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch.
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Ajouter au panierEtat : New. Print on Demand pp. 152.
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. 152.