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Introduction
The Accuracy of a Sample Mean
Random Samples and Probabilities
The Empirical Distribution Function and the Plug-In Principle
Standard Errors and Estimated Standard Errors
The Bootstrap Estimate of Standard Error
Bootstrap Standard Errors: Some Examples
More Complicated Data Structures
Regression Models
Estimates of Bias
The Jackknife
Confidence Intervals Based on Bootstrap "Tables"
Confidence Intervals Based on Bootstrap Percentiles
Better Bootstrap Confidence Intervals
Permutation Tests
Hypothesis Testing with the Bootstrap
Cross-Validation and Other Estimates of Prediction Error
Adaptive Estimation and Calibration
Assessing the Error in Bootstrap Estimates
A Geometrical Representation for the Bootstrap and Jackknife
An Overview of Nonparametric and Parametric Inference
Further Topics in Bootstrap Confidence Intervals
Efficient Bootstrap Computations
Approximate Likelihoods
Bootstrap Bioequivalence
Discussion and Further Topics
Appendix: Software for Bootstrap Computations
References
The Accuracy of a Sample Mean
Random Samples and Probabilities
The Empirical Distribution Function and the Plug-In Principle
Standard Errors and Estimated Standard Errors
The Bootstrap Estimate of Standard Error
Bootstrap Standard Errors: Some Examples
More Complicated Data Structures
Regression Models
Estimates of Bias
The Jackknife
Confidence Intervals Based on Bootstrap "Tables"
Confidence Intervals Based on Bootstrap Percentiles
Better Bootstrap Confidence Intervals
Permutation Tests
Hypothesis Testing with the Bootstrap
Cross-Validation and Other Estimates of Prediction Error
Adaptive Estimation and Calibration
Assessing the Error in Bootstrap Estimates
A Geometrical Representation for the Bootstrap and Jackknife
An Overview of Nonparametric and Parametric Inference
Further Topics in Bootstrap Confidence Intervals
Efficient Bootstrap Computations
Approximate Likelihoods
Bootstrap Bioequivalence
Discussion and Further Topics
Appendix: Software for Bootstrap Computations
References
Introduction
The Accuracy of a Sample Mean
Random Samples and Probabilities
The Empirical Distribution Function and the Plug-In Principle
Standard Errors and Estimated Standard Errors
The Bootstrap Estimate of Standard Error
Bootstrap Standard Errors: Some Examples
More Complicated Data Structures
Regression Models
Estimates of Bias
The Jackknife
Confidence Intervals Based on Bootstrap "Tables"
Confidence Intervals Based on Bootstrap Percentiles
Better Bootstrap Confidence Intervals
Permutation Tests
Hypothesis Testing with the Bootstrap
Cross-Validation and Other Estimates of Prediction Error
Adaptive Estimation and Calibration
Assessing the Error in Bootstrap Estimates
A Geometrical Representation for the Bootstrap and Jackknife
An Overview of Nonparametric and Parametric Inference
Further Topics in Bootstrap Confidence Intervals
Efficient Bootstrap Computations
Approximate Likelihoods
Bootstrap Bioequivalence
Discussion and Further Topics
Appendix: Software for Bootstrap Computations
References
The Accuracy of a Sample Mean
Random Samples and Probabilities
The Empirical Distribution Function and the Plug-In Principle
Standard Errors and Estimated Standard Errors
The Bootstrap Estimate of Standard Error
Bootstrap Standard Errors: Some Examples
More Complicated Data Structures
Regression Models
Estimates of Bias
The Jackknife
Confidence Intervals Based on Bootstrap "Tables"
Confidence Intervals Based on Bootstrap Percentiles
Better Bootstrap Confidence Intervals
Permutation Tests
Hypothesis Testing with the Bootstrap
Cross-Validation and Other Estimates of Prediction Error
Adaptive Estimation and Calibration
Assessing the Error in Bootstrap Estimates
A Geometrical Representation for the Bootstrap and Jackknife
An Overview of Nonparametric and Parametric Inference
Further Topics in Bootstrap Confidence Intervals
Efficient Bootstrap Computations
Approximate Likelihoods
Bootstrap Bioequivalence
Discussion and Further Topics
Appendix: Software for Bootstrap Computations
References
Details
| Empfohlen (bis): | 18 |
|---|---|
| Erscheinungsjahr: | 1994 |
| Medium: | Taschenbuch |
| Reihe: |
Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Monographs on Statistics and Applied Probability |
| Inhalt: | Einband - fest (Hardcover) |
| ISBN-13: | 9780412042317 |
| ISBN-10: | 0412042312 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Bradley Efron
R.J. Tibshirani |
| Auflage: | Softcover reprint of the original 1. Auflage 1993 |
| Hersteller: |
CRC Press
Chapman & Hall/CRC Monographs on Statistics and Applied Probability |
| Verantwortliche Person für die EU: | preigu GmbH & Co. KG, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Abbildungen: | PPI 526 |
| Maße: | 229 x 152 x 29 mm |
| Von/Mit: | Bradley Efron (u. a.) |
| Erscheinungsdatum: | 15.05.1994 |
| Gewicht: | 0,756 kg |