Resampling Methods
This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, the book provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware.
Descriptive statistics; cause and effect; testing a hypothesis; when the distribution is known; estimation; power of a test; categorical data; design of experiments; multiple variables; classification and discrimination; survival analysis and reliability; which technique should I use?. Appendices: program your own resampling methods; C++, SC and Stata Code for permutation test; SAS and Stata Code for the Bootstrap; software sources.
| Pm Supplier | Springer Verlag |
|---|---|
| Pm Publisher | Springer Nature |
| Pm Isbn 10 | 0817643869 |
| Pm Isbn 13 | 9780817643867 |
| Pm Publication Date | 2005-09-08 |
| Pm Width | 155 |
| Pm Author | Good, Phillip I |
| Pm Height | 14 |
| Pm Longness | 235 |
- Author: Good, Phillip I
- Page Count: 218
Resampling Methods
- Author: Good, Phillip I
- Page Count: 218
