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Probability And Random Processes

The third edition of this successful text gives a rigorous introduction to probability theory and the discussion of the most important random processes in some depth. It includes various topics which are suitable for undergraduate courses but are not routinely taught. It is suitable to the beginner and provides a taste and encouragement for more advanced work. There are four main aims: 1) to provide a thorough but straightforward account of basic probability giving the reader a natural feel for the subject unburdened by oppressive technicalities 2) to discuss important random processes in depth with many examples. 3) to cover a range of important but less routine topics 4) to impart to the beginner the flavour of more advanced work. The books begins with basic ideas common to many
undergraduate courses in mathematics statistics and the sciences; in concludes with topics usually found at graduate level. The ordering and numbering of material in this third edition has been mostly preserved from the second. Minor alterations and additions have been added for clearer exposition. Highlights include new sections on sampling and Markov chain Monte Carlo geometric probability coupling and Poisson approximation large deviations spatial Poisson processes renewal-reward queueing networks stochastic calculus Itos formula and option pricing in the Black-Scholes model for financial markets. In addition there are many (nearly 400) new exercises and problems that are entertaining and instructive; their solutions can be found in the companion volume One Thousand Exercises in
Probability (OUP 2001).
  • Availability: In Stock
  • Supplier: WHSmith
  • SKU: 9780198572220
Availability: In Stock
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Product Description

The third edition of this successful text gives a rigorous introduction to probability theory & the discussion of the most important random processes in some depth. It

Includes::
various topics which are suitable for undergraduate courses but are not routinely taught. It is suitable to the beginner & provides a taste & encouragement for more advanced work. There are four main aims: 1) to provide a thorough but straightforward account of basic probability giving the reader a natural feel for the subject unburdened by oppressive technicalities 2) to discuss important random processes in depth with many examples. 3) to cover a range of important but less routine topics 4) to impart to the beginner the flavour of more advanced work. The books begins with basic ideas common to many undergraduate courses in mathematics statistics & the sciences; in concludes with topics usually found at graduate level. The ordering & numbering of material in this third edition has been mostly preserved from the second. Minor alterations & additions have been added for clearer exposition. Highlights include new sections on sampling & Markov chain Monte Carlo geometric probability coupling & Poisson approximation large deviations spatial Poisson processes renewal-reward queueing networks stochastic calculus Itos formula & option pricing in the Black-Scholes model for financial markets. In addition there are many (nearly 400) new exercises & problems that are entertaining & instructive; their solutions can be found in the companion volume One Thousand Exercises in Probability (OUP 2001).

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