Cambridge University Press. Used - Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects. Cambridge University Press ISBN 0521765390 9780521765398 [US]

ISBN10: 0521765390, ISBN13: 9780521765398, [publisher: Cambridge University Press] Hardcover Used book that is in excellent condition. May show signs of wear or have minor defects.
[Mishawaka, IN, U.S.A.] [Publication Year: 2010]

ISBN10: 0521765390, ISBN13: 9780521765398, [publisher: Cambridge Univ. Press, Cambridge [u.a.]] Hardcover 26,5 cm X, 428 S. Hardcover. Sprache: Englisch, Zustand: Sehr Gut; eher ungelesen (Innen); * Die Photos sind original von uns erstellt worden, u.a. erkennbar an einem kleinen weißen Stück Papier im oberen Schnitt. Ab und an verwenden Suchmaschinen Verlagsphotos, bei den Portalen selbst, werden aber nur unsere Originalphotos gezeigt.
[Gummersbach, NRW, Germany] [Publication Year: 2010]
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Cambridge University Press 2010-08-30 4th Revised edition. Revised. Hardcover Good US Edition Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Emailed Tracking from USA.

ISBN10: 0521765390, ISBN13: 9780521765398, [publisher: Cambridge University Press] Hardcover
[Denver, CO, U.S.A.] [Publication Year: 2010]

ISBN10: 0521765390, ISBN13: 9780521765398, [publisher: Cambridge University Press] Hardcover New Copy. Customer Service Guaranteed
[Denver, CO, U.S.A.] [Publication Year: 2010]

ISBN10: 0521765390, ISBN13: 9780521765398, [publisher: Cambridge University Press] Hardcover New. Fast Shipping and good customer service
[Fayetteville, TX, U.S.A.] [Publication Year: 2010]

ISBN10: 0521765390, ISBN13: 9780521765398, [publisher: Cambridge University Press] Hardcover New
[Long Beach, CA, U.S.A.] [Publication Year: 2010]

ISBN10: 0521765390, ISBN13: 9780521765398, [publisher: Cambridge University Press, United Kingdom, Cambridge] Softcover This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems. The fourth edition begins with a short chapter on measure theory to orient readers new to the subject. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
[Goring-By-Sea, WS, United Kingdom] [Publication Year: 2010]

Cambridge University Press, Date: 2010-08-30. Hardcover. Good. US Edition Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Emailed Tracking from USA 2010. Cambridge University Press ISBN 0521765390 9780521765398 [US]