9780521825856 - Exercises in Probability: A Guided Tour from Measure Theory to Random Processes, via Conditioning di Chaumont, L.; Yor, M. (6 risultati)

Condizione: Fair. Volume 13. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780521825856.

Hardcover. Condizione: Acceptable. Acceptable Hardcover. Title page and copyright page has been torn out and are missing. End of the spine is bumped. Used.

Condizione: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780521825856.

Hardcover. Condizione: As New. Series: Cambridge Series in Statistical and Probabilistic Mathematics. xv 236p illustrated blue cover, light green lettering to spine, excellent copy, like new Language: English.

Hardback. Condizione: Very Good. No Jacket. First edition. 1st 2003. Slightly better than very good condition with no wrapper. A Guided Tour from Measure Theory to Random Processes, via Conditioning. Cambridge Series in Statistical and Probabilistic Mathematics. Glazed boards. 236 pages. Minimal bumping and rubbing to spine and corners. Contents fine. Packaged with care and promptly dispatched!

Dura. Condizione: New. Condizione sovraccoperta: Nuevo. No Aplica (illustratore). 0. Derived from extensive teaching experience in Paris, this book presents around 100 exercises in probability. The exercises cover measure theory and probability, independence and conditioning, Gaussian variables, distributional computations, convergence of random variables, and random processes. For each exercise the authors have provided a detailed solution as well as references for preliminary and further reading. There are also many insightful notes that set the exercises in context. Students will find these exercises extremely useful for easing the transition between simple and complex probabilistic frameworks. Indeed, many of the exercises here will lead the student on to frontier research topics in probability. Along the way, attention is drawn to a number of traps into which students of probability often fall. This book is ideal for independent study or as the companion to a course in advanced probability theory. 600 gr. Libro.