Sprache: Englisch
Verlag: Cambridge University Press, 2013
ISBN 10: 0521175577 ISBN 13: 9780521175579
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Sprache: Englisch
Verlag: Cambridge University Press, 2013
ISBN 10: 0521175577 ISBN 13: 9780521175579
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 51,99
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 70,33
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 188 pages. 9.00x6.25x0.50 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2013
ISBN 10: 0521175577 ISBN 13: 9780521175579
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. A rigorous, unfussy introduction to modern probability theory that focuses squarely on applications in finance. Series: Mastering Mathematical Finance. Num Pages: 196 pages, 12 b/w illus. 150 exercises. BIC Classification: KFF; PBT; PBW. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 230 x 164 x 12. Weight in Grams: 306. . 2013. Paperback. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2013
ISBN 10: 0521175577 ISBN 13: 9780521175579
Anbieter: moluna, Greven, Deutschland
EUR 55,63
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Students and instructors alike will benefit from this rigorous, unfussy text. It keeps a clear focus on the basic probabilistic concepts required for an understanding of financial market models, including independence, conditioning and limit theorems for ra.
Sprache: Englisch
Verlag: Cambridge University Press, 2013
ISBN 10: 0521175577 ISBN 13: 9780521175579
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Students and instructors alike will benefit from this rigorous, unfussy text, which keeps a clear focus on the basic probabilistic concepts required for an understanding of financial market models, including independence and conditioning. Assuming only some calculus and linear algebra, the text develops key results of measure and integration, which are applied to probability spaces and random variables, culminating in central limit theory. Consequently it provides essential prerequisites to graduate-level study of modern finance and, more generally, to the study of stochastic processes. Results are proved carefully and the key concepts are motivated by concrete examples drawn from financial market models. Students can test their understanding through the large number of exercises and worked examples that are integral to the text.