1. Descriptive Statistics --;2. Cause and Effect --;3. Testing Hypotheses --;4. When the Distribution Is Known --;5. Estimation --;6. Power of a Test --;7. Categorical Data --;8. Experimental Design and Analysis --;9. Multiple Variables and Multiple Hypotheses --;10. Classification and Discrimination --;11. Survival Analysis and Reliability --;12. Which Statistic Should I Use? --;Appendix 1. Program Your Own Resampling Methods --;Appendix 2. C++, SC and Stata Code for Permutation Test --;Appendix 3. SAS and Stata Code for the Bootstrap --;Appendix 4. Software Sources.
The aim of this volume is to introduce statistical methodology-estimation, hypothesis, testing and classification to a wide audience through resampling from existing data via the bootstrap, and estimation or cross-validation methods.