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003			TR-AnTOB
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020			_a0412042312
040			_aTR-AnTOB
041			_aeng
050	0	0	_aQA276.8 _b.E3745 1994
090			_aQA276.8 .E3745 1994
100	1		_aEfron, Bradley _973100
245	1	3	_aAn introduction to the bootstrap / _cBradley Efron, Robert J. Tibshirani.
264		1	_aNew York, NY ; _aBoca Raton, FL : _bCRC Press, _c1994.
300			_axvi, 436 p. : _bill. ; _c23 cm.
490	0		_aMonographs on statistics and applied probability ; _v57
504			_aIncludes bibliographical references and index.
505			_a1. 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.
650		0	_aBootstrap (Statistics) _972906
700	1		_aTibshirani, Robert _94552
942			_cBK