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This third edition is a revised, updated, and greatly expanded version of previous edition of 2001. The 1300+ exercises contained within are not merely drill problems, but have been chosen to illustrate the concepts, illuminate the subject, and both inform and entertain the reader. A broad range of subjects is covered, including elementary aspects of probability and random variables, sampling, generating functions, Markov chains, convergence, stationary processes, renewals, queues, martingales, diffusions, Lévy processes, stability and self-similarity, time changes, and stochastic calculus including option pricing via the Black-Scholes model of mathematical finance. The text is intended to serve students as a companion for elementary, intermediate, and advanced courses in probability, random processes and operations research. It will also be useful for anyone needing a source for large numbers of problems and questions in these fields. In particular, this book acts as a companion to the authors' volume, Probability and Random Processes, fourth edition (OUP 2020).
This text serves as a comprehensive collection of over 1,300 problems designed to reinforce and expand upon the theoretical concepts of probability and stochastic processes. Authors David Stirzaker and Geoffrey Grimmett, both established experts in the field of mathematical probability, provide this volume as a pedagogical tool to bridge the gap between abstract theory and practical application. The book is structured to support students and researchers across a spectrum of difficulty levels, ranging from elementary probability to advanced mathematical finance.
What You Will Find
Scope Limits
Experts and academics frequently identify this volume as a standard supplementary resource for university-level probability courses. Readers often note the high density of the problems and the necessity of having a strong foundational understanding of the subject before attempting the more advanced exercises.
Page Count:
592
Publication Date:
2020-01-01
Publisher:
OUP Oxford
ISBN-10:
0192586874
ISBN-13:
9780192586872
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