Business & Economics

One Thousand Exercises in Probability

Author: Geoffrey Grimmett

Publisher: Oxford University Press

ISBN:

Category: Business & Economics

Page: 438

View: 227

The companion volume to Probability and Random Processes, 3rd Edition this book contains 1000+ exercises on the subjects of elelmentary aspects of probability and random variables, sampling, Markov chains, convergence, stationary processes, renewals, queues, Martingales, Diffusion, Mathematical finanace and the Black-Scholes model.
Mathematics

Probability and Random Processes

Author: Geoffrey Grimmett

Publisher: Oxford University Press

ISBN:

Category: Mathematics

Page: 596

View: 815

This textbook provides a wide-ranging and entertaining indroduction to probability and random processes and many of their practical applications. It includes many exercises and problems with solutions.
Mathematics

Exercises in Probability

Author: Loïc Chaumont

Publisher: Cambridge University Press

ISBN:

Category: Mathematics

Page: 279

View: 459

Over 100 exercises with detailed solutions, insightful notes and references for further reading. Ideal for beginning researchers.
Science

Probability

Author: Geoffrey Grimmett

Publisher: Oxford University Press

ISBN:

Category: Science

Page: 211

View: 384

This new undergraduate text offers a concise introduction to probability and random processes. Exercises and problems range from simple to difficult, and the overall treatment, though elementary, includes rigorous mathematical arguments. Chapters contain core material for a beginning course in probability, a treatment of joint distributions leading to accounts of moment-generating functions, the law of large numbers and the central limit theorem, and basic random processes.
Mathematics

Elementary Probability

Author: David Stirzaker

Publisher: Cambridge University Press

ISBN:

Category: Mathematics

Page:

View: 278

Now available in a fully revised and updated second edition, this well established textbook provides a straightforward introduction to the theory of probability. The presentation is entertaining without any sacrifice of rigour; important notions are covered with the clarity that the subject demands. Topics covered include conditional probability, independence, discrete and continuous random variables, basic combinatorics, generating functions and limit theorems, and an introduction to Markov chains. The text is accessible to undergraduate students and provides numerous worked examples and exercises to help build the important skills necessary for problem solving.