Bootstrap methods : a guide for practitioners and researchers /
Michael R. Chernick.
- Second edition.
- xviii, 369 p. ; 24 cm.
1. What is Bootstrapping? -- 2. Estimation. -- 3. Confidence Sets and Hypothesis Testing. -- 4. Regression Analysis. -- 5. Forecasting and Time Series Analysis. -- 6. Which Resampling Method Should You Use? -- 7. Efficient and Effective Simulation. -- 8. Special Topics. -- 9. When Bootstrapping Fails Along with Remedies for Failures