Sprache: Englisch
Verlag: Cambridge University Press, 2019
ISBN 10: 1108473687 ISBN 13: 9781108473682
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Sprache: Englisch
Verlag: Cambridge University Press, 2019
ISBN 10: 1108473687 ISBN 13: 9781108473682
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 95,92
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2019
ISBN 10: 1108473687 ISBN 13: 9781108473682
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 106,65
Anzahl: 1 verfügbar
In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: Cambridge University Press, 2019
ISBN 10: 1108473687 ISBN 13: 9781108473682
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 134,73
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 136,77
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 5th edition. 419 pages. 10.00x7.00x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2019
ISBN 10: 1108473687 ISBN 13: 9781108473682
Anbieter: preigu, Osnabrück, Deutschland
Buch. Zustand: Neu. Probability | Rick Durrett | Buch | Gebunden | Englisch | 2019 | Cambridge University Press | EAN 9781108473682 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: Cambridge University Press Apr 2019, 2019
ISBN 10: 1108473687 ISBN 13: 9781108473682
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - This lively introduction to measure-theoretic probability theory covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. Concentrating on results that are the most useful for applications, this comprehensive treatment is a rigorous graduate text and reference. Operating under the philosophy that the best way to learn probability is to see it in action, the book contains extended examples that apply the theory to concrete applications. This fifth edition contains a new chapter on multidimensional Brownian motion and its relationship to partial differential equations (PDEs), an advanced topic that is finding new applications. Setting the foundation for this expansion, Chapter 7 now features a proof of Itô's formula. Key exercises that previously were simply proofs left to the reader have been directly inserted into the text as lemmas. The new edition re-instates discussion about the central limit theorem for martingales and stationary sequences.
Sprache: Englisch
Verlag: Cambridge University Press Apr 2019, 2019
ISBN 10: 1108473687 ISBN 13: 9781108473682
Anbieter: Books-by-Floh, Paderborn, Deutschland
Buch. Zustand: Neu. Neuware -This lively introduction to measure-theoretic probability theory covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. Concentrating on results that are the most useful for applications, this comprehensive treatment is a rigorous graduate text and reference. Operating under the philosophy that the best way to learn probability is to see it in action, the book contains extended examples that apply the theory to concrete applications. This fifth edition contains a new chapter on multidimensional Brownian motion and its relationship to partial differential equations (PDEs), an advanced topic that is finding new applications. Setting the foundation for this expansion, Chapter 7 now features a proof of Itô's formula. Key exercises that previously were simply proofs left to the reader have been directly inserted into the text as lemmas. The new edition re-instates discussion about the central limit theorem for martingales and stationary sequences. 432 pp. Englisch.