An introduction to the bootstrap /
Bradley Efron, Robert J. Tibshirani.
- xvi, 436 p. : ill. ; 23 cm.
- Monographs on statistics and applied probability ; 57 .
1. Introduction. -- 2. The Accuracy of a Sample Mean. -- 3. Random Samples and Probabilities. -- 4. The Empirical Distribution Function and the Plug-in Principle. -- 5. Standard Errors and Estimated Standard Errors. -- 6. The Bookstrap Estimate of Standard Error. -- 7. Bookstrap Standard Errors: Some Examples. -- 8. More Complicated Data Structures. -- 9. Regression Models. -- 10. Estimate of Bias. -- 11. The Jakknife. -- 12. Confidence Intervals Based on Bootstrap "Tables". -- 13. Confidence Intervals Based on Bootstrap Percentiles. -- 14. Better Bootstrap Confidence Intervals. -- 15. Permutation Tests. -- 16. Hypothesis Testing with the Bootstrap. -- 17. Cross-validation and Other Estimates of Prediction Error. -- 18. Adaptive Estimation and Calibration. -- 19. Assessing the Error in Bootstrap Estimates. -- 20. A Geometrical Represantation for the Bootstrap and Jackknife. -- 21. An Overview of Nonparametric and Parametric Inference. -- 22. Further Topics in Bootstrap Confidence Intervals. -- 23. Efficient Bootstrap Computations. -- 24. Approximate Likelihoods. -- 25. Bootstrap Bioequivalance. -- 26. Discussion and Further Topics.