One thousand exercises in probability
This is an updated and greatly expanded version of an already well-established and popular exercise manual. It provides a wide-ranging selection of illuminating, informative and entertaining problems, together with their solution. Topics include modelling and many applications of probability theory, as well as theoretical aspects. There are questions at all ability levels, the majority being of elementary or intermediate standard. Well suited as a stand alone problems and solutions manual, it a…
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- Full title :One thousand exercises in probability
Summary
This is an updated and greatly expanded version of an already well-established and popular exercise manual. It provides a wide-ranging selection of illuminating, informative and entertaining problems, together with their solution. Topics include modelling and many applications of probability theory, as well as theoretical aspects. There are questions at all ability levels, the majority being of elementary or intermediate standard. Well suited as a stand alone problems and solutions manual, it also is the companion volume for ...
Read More ↓Edition Statements
- Publication Date:2007
Publication Statements
- Publisher(s):Oxford University Press
- Place of Publication:Oxford
- Language:eng
- Publication Date:2007
Notes
This is an updated and greatly expanded version of an already well-established and popular exercise manual. It provides a wide-ranging selection of illuminating, informative and entertaining problems, together with their solution. Topics include modelling and many applications of probability theory, as well as theoretical aspects. There are questions at all ability levels, the majority being of elementary or intermediate standard. Well suited as a stand alone problems and solutions manual, it also is the companion volume for ...
The Physical Object
- Description:438 p.
Edition Identifiers
- ISBN:0198572212, 9780198572213
- oclc:ocn488671522
- Dewey Decimal:519.2076
Table of Contents
1. Events and their probabilities; 2. Random variables and their distribution 3. Discrete randon variables; 4. Continuous random variables; 5. Generating functions and their applications; 6. Markov chains; 7. Convergence of random variables; 8. Random processes; 9. Stationary processes; 10. Renewals; 11. Queues; 12. Martingales; 13. Diffusion processes; Table of distributions; Bibliography; Index
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