Horgan, Jane Probability with R An Introduction with Computer Science Applications
1. Edition - November 2008 87.90 Euro 2008. 394 Pages, Hardcover - Practical Approach Book - ISBN-10: 0-470-28073-5 ISBN-13: 978-0-470-28073-7 - John Wiley & Sons
Short description There is a great need for a book on introductory probability applied to problems in computing. Probability with R serves as an introduction to probability and its application to computer disciplines and successfully convinces readers of the relevance of probability to computing. Most examples are related to computing and cover a wide range of computer science applications. This thoroughly classroom-tested, self-contained book encourages computing professionals and upper-undergraduates to perform the simulations in R in order to gain a firm understanding of the concepts discussed in the book.
From the contents Preface.
I. THE R LANGUAGE.
1. Basics of R.
2. Summarising Statistical Data.
3. Graphical Displays.
II: FUNDAMENTALS OF PROBABILITY.
4. Basics.
5. Rules of Probability.
6. Conditional Probability.
7. Posterior Probability and Bayes.
8. Reliability.
III: DISCRETE DISTRIBUTIONS.
9. Discrete Distributions.
10. The Geometric Distribution.
11. The Binomial Distribution.
12. The Hypergeometric Distribution.
13. The Poisson Distribution.
14. Sampling Inspection Schemes.
IV. CONTINUOUS DISTRIBUTIONS.
15. Continuous Distributions.
16. The Exponential Distribution.
17. Applications of the Exponential Distribution.
18. The Normal Distribution.
19. Process Control.
V. TAILING OFF.
20. Markov and Chebyshev Bound.
Appendix 1: Variance derivations.
Appendix 2: Binomial approximation to the hypergeometric.
