Probability with R : an introduction with computer science applications
"This self-contained book integrates the use of computers with introductory probability and R, and all new ideas are introduced and illustrated using real computer-related examples. R, the widely-popular software, is not only used as a tool for calculation and data analysis, but also to illustr...
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| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Hoboken, NJ :
Wiley,
2020.
|
| Edition | Second edition. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9781119536925 1119536928 9781119536963 1119536960 9781119536987 1119536987 1119536944 9781119536949 |
| Physical Description | 1 online resource |
Cover
Table of Contents:
- Basics of R
- Summarizing statistical data
- Graphical displays
- Probability basics
- Rules of probability
- Conditional probability
- Posterior probability and Bayes
- Reliability
- Introduction to discrete distributions
- The geometric distribution
- The binomial distribution
- The hypergeometric distribution
- The Poisson distribution
- Sampling inspection schemes
- Introduction to continuous distributions
- The exponential distribution
- Queues
- The normal distribution
- Process control
- The inequalities of Markov and Chebyshev.