Probability and Random Variables
This is a simple and concise introduction to probability theory. Self-contained and readily accessible, it is written in an informal tutorial style with concepts and techniques defined and developed as necessary. After an elementary discussion of chance, the central and crucial rules and ideas of probability including independence and conditioning are set out. Examples, demonstrations, and exercises are used throughout to explore the ways in which probability is motivated by, and applied to, real life problems in science, medicine, gaming and other subjects of interest. This book is suitable for students taking introductory courses in probability and will provide a solid foundation for more advanced courses in probability and statistics. It would also be a valuable reference to those needing a working knowledge of probability theory and will appeal to anyone interested in this endlessly fascinating and entertaining subject.
- Very slow and gentle start which does not assume knowledge of calculus so suitable for students in any subject taking basic courses
- Treats discrete and continuous variable together allowing intuition to aid understanding
- Lots of exercises (with solutions) and examples and covers subject in a comprehensive way so suitable for any introductory course anywhere
Reviews & endorsements
'… a fine textbook accompanying introductory lectures in probability.' Ch. Cenker, Monatshefte für Mathematik
'I would not hesitate to recommend it for independent study to a colleague in mathematics or one of the natural or social sciences (assuming a working knowledge of calculus). I think the text would also work well in an independent study course with a bright, highly motivated, well-prepared undergraduate student.' Roger Nelson, Journal of the American Statistical Association
'This book is an ideal text for an introductory university course in probability … This is a very-well written book. the content and the informal tutorial style are such that the book can be strongly recommended.' Jordan M. Stoyanov, Zentralblatt MATH
Product details
September 1999Paperback
9780521644457
382 pages
248 × 175 × 22 mm
0.755kg
50 b/w illus. 1 table 70 exercises
Available
Table of Contents
- 1. Introduction
- Part A. Probability:
- 2. The rules of probability
- 3. Counting and gambling
- 4. Distributions: trials, samples and approximation
- Part B. Random Variables:
- 5. Random variables and their distributions
- 6. Jointly distributed random variables
- 7. Generating functions
- 8. Appendix: hints and solutions for selected exercises and problems.