Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107039754 ISBN 13: 9781107039759
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Acceptable. Item in acceptable condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Sprache: Englisch
Verlag: Cambridge University Press, 2013
ISBN 10: 1107039754 ISBN 13: 9781107039759
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
EUR 76,94
Anzahl: 1 verfügbar
In den WarenkorbZustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1300grams, ISBN:9781107039759.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107039754 ISBN 13: 9781107039759
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 91,96
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 166,39
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 536 pages. 9.75x6.75x1.05 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107039754 ISBN 13: 9781107039759
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 181,03
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. The definitive textbook on stochastic processes, written by one of the world's leading information theorists, covering both theory and applications. Num Pages: 553 pages, 125 b/w illus. 305 exercises. BIC Classification: KCHS; PBT; PBWL. Category: (U) Tertiary Education (US: College). Dimension: 173 x 251 x 30. Weight in Grams: 1224. . 2014. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107039754 ISBN 13: 9781107039759
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This definitive textbook provides a solid introduction to discrete and continuous stochastic processes, tackling a complex field in a way that instils a deep understanding of the relevant mathematical principles, and develops an intuitive grasp of the way these principles can be applied to modelling real-world systems. It includes a careful review of elementary probability and detailed coverage of Poisson, Gaussian and Markov processes with richly varied queuing applications. The theory and applications of inference, hypothesis testing, estimation, random walks, large deviations, martingales and investments are developed. Written by one of the world's leading information theorists, evolving over twenty years of graduate classroom teaching and enriched by over 300 exercises, this is an exceptional resource for anyone looking to develop their understanding of stochastic processes.