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Basic Stochastic Processes

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This book has been designed for a final year undergraduate course in stochastic processes. It will also be suitable for mathematics undergraduates and others with interest in probability and stochastic processes, who wish to study on their own. The main prerequisite is probability probability measures, random variables, expectation, independence, conditional probability, and the laws of large numbers. The only other prerequisite is calculus. This covers limits, series, the notion of continuity, differentiation and the Riemann integral. Familiarity with the Lebesgue integral would be a bonus. A certain level of fundamental mathematical experience, such as elementary set theory, is assumed implicitly. Throughout the book the exposition is interlaced with numerous exercises, which form an integral part of the course. Complete solutions are provided at the end of each chapter. Also, each exercise is accompanied by a hint to guide the reader in an informal manner. This feature willbe particularly useful for self-study and may be of help in tutorials. It also presents a challenge for the lecturer to involve the students as active participants in the course.

200 pages, Paperback

First published September 6, 2000

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Zdzislaw Brzezniak

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4 reviews
August 26, 2017
As an instructor, I found this book really helpful as complementary material. But, I would not recommend it for independent study: There are too many ideas that are almost self-evident if you already know the material but if you try to understand the subject for the first time, those ideas are sorely missing.
Displaying 1 - 1 of 1 review