9780521350235 - Stopping Times and Directed Processes Hardback: 47 (Encyclopedia of Mathematics and its Applications, Series Number 47) de Edgar; Sucheston (18 resultados)

gebundene Ausgabe. Condición: Gut. 428 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Original-Schutzumschlag vorhanden (siehe Foto). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 845.

Cloth. Condición: Very Good. Estado de la sobrecubierta: Very Good. First Edition. Type: Book N.B. Small plain label to ffep. Corners of boards slightly bumped. (MATHEMATICS).

Karton Karton. Condición: Sehr gut. XII, 444 S. Encyclopedia of Mathematics and its Applications, Band 47. Zust: Gutes Exemplar. Mit original Schutzumschlag. Schneller Versand und persönlicher Service - jedes Buch händisch geprüft und beschrieben - aus unserem Familienbetrieb seit über 25 Jahren. Eine Rechnung mit ausgewiesener Mehrwertsteuer liegt jeder unserer Lieferungen bei. Wir versenden mit der deutschen Post. Sprache: Englisch Gewicht in Gramm: 820.

Condición: Gut. Zustand: Gut | Seiten: 444 | Sprache: Englisch | Produktart: Bücher | A unified treatment of the theory of 'stopping times' for probability theorists and statisticians.

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Condición: New. A unified treatment of the theory of 'stopping times' for probability theorists and statisticians. Series Editor(s): Rota, G.-C.; Doran, B.; Ismail, M.; Lam, T. Y.; Wutwak, E.; Flajolet, Philippe; Lutwak, E. Series: Encyclopedia of Mathematics and Its Applications. Num Pages: 444 pages, references, index. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 25. Weight in Grams: 819. . 1992. Illustrated. hardcover. . . . .

Condición: New. A unified treatment of the theory of 'stopping times' for probability theorists and statisticians. Series Editor(s): Rota, G.-C.; Doran, B.; Ismail, M.; Lam, T. Y.; Wutwak, E.; Flajolet, Philippe; Lutwak, E. Series: Encyclopedia of Mathematics and Its Applications. Num Pages: 444 pages, references, index. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 25. Weight in Grams: 819. . 1992. Illustrated. hardcover. . . . . Books ship from the US and Ireland.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - A unified treatment of the theory of 'stopping times' for probability theorists and statisticians.

Condición: Gut. 1st. gr. 8°. (= Encyclopedia of Mathematics and Its Applications Vol. 47). 428p. Bound, 2 kl. Rückenaufkleber, Vorsatzblatt entfernt, Teil des Umschlags am Innendeckel montiert, Titelblatt mit Ausschnitt, innen sehr gutes Ex. Sprache: Englisch,

Hardcover. Condición: new. Hardcover. The notion of "stopping times" is a useful one in probability theory; it can be applied to both classical problems and new ones. This book presents this technique in the context of the directed set, stochastic processes indexed by directed sets, and provides many applications in probability, analysis, and ergodic theory. The book opens with a discussion of pointwise and stochastic convergence of processes with concise proofs arising from the method of stochastic convergence. Later, the rewording of Vitali covering conditions in terms of stopping times, clarifies connections with the theory of stochastic processes. Solutions are presented here for nearly all the open problems in the Krickeberg convergence theory for martingales and submartingales indexed by directed set. Another theme is the unification of martingale and ergodic theorems. Among the topics treated are: the three-function maximal inequality, Burkholder's martingale transform inequality and prophet inequalities, convergence in Banach spaces, and a general superadditive ration ergodic theorem. From this, the general Chacon-Ornstein theorem and the Chacon theorem can be derived.A second instance of the unity of ergodic and martingale theory is a general principle showing that in both theories, all the multiparameter convergence theorems follow from one-parameter maximal and convergence theorems. A treatment of the theory of 'stopping times' for probability theorists and statisticians. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condición: Brand New. 428 pages. 9.75x6.50x1.25 inches. In Stock. This item is printed on demand.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The notion of stopping times is a useful one in probability theory it can be applied to both classical problems and fresh ones. This book presents this technique in the context of the directed set, stochastic processes indexed by directed sets and many a.

Hardcover. Condición: new. Hardcover. The notion of "stopping times" is a useful one in probability theory; it can be applied to both classical problems and new ones. This book presents this technique in the context of the directed set, stochastic processes indexed by directed sets, and provides many applications in probability, analysis, and ergodic theory. The book opens with a discussion of pointwise and stochastic convergence of processes with concise proofs arising from the method of stochastic convergence. Later, the rewording of Vitali covering conditions in terms of stopping times, clarifies connections with the theory of stochastic processes. Solutions are presented here for nearly all the open problems in the Krickeberg convergence theory for martingales and submartingales indexed by directed set. Another theme is the unification of martingale and ergodic theorems. Among the topics treated are: the three-function maximal inequality, Burkholder's martingale transform inequality and prophet inequalities, convergence in Banach spaces, and a general superadditive ration ergodic theorem. From this, the general Chacon-Ornstein theorem and the Chacon theorem can be derived.A second instance of the unity of ergodic and martingale theory is a general principle showing that in both theories, all the multiparameter convergence theorems follow from one-parameter maximal and convergence theorems. A treatment of the theory of 'stopping times' for probability theorists and statisticians. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condición: New. Print on Demand pp. 444 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 444.

Hardcover. Condición: new. Hardcover. The notion of "stopping times" is a useful one in probability theory; it can be applied to both classical problems and new ones. This book presents this technique in the context of the directed set, stochastic processes indexed by directed sets, and provides many applications in probability, analysis, and ergodic theory. The book opens with a discussion of pointwise and stochastic convergence of processes with concise proofs arising from the method of stochastic convergence. Later, the rewording of Vitali covering conditions in terms of stopping times, clarifies connections with the theory of stochastic processes. Solutions are presented here for nearly all the open problems in the Krickeberg convergence theory for martingales and submartingales indexed by directed set. Another theme is the unification of martingale and ergodic theorems. Among the topics treated are: the three-function maximal inequality, Burkholder's martingale transform inequality and prophet inequalities, convergence in Banach spaces, and a general superadditive ration ergodic theorem. From this, the general Chacon-Ornstein theorem and the Chacon theorem can be derived.A second instance of the unity of ergodic and martingale theory is a general principle showing that in both theories, all the multiparameter convergence theorems follow from one-parameter maximal and convergence theorems. A treatment of the theory of 'stopping times' for probability theorists and statisticians. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.