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An Introduction to the Bootstrap
Further topics in bootstrap confidence intervals
other
Author(s):
Bradley Efron
,
Robert J. Tibshirani
Publication date
(Print):
1993
Publisher:
Springer US
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Book Chapter
Publication date (Print):
1993
Pages
: 321-337
DOI:
10.1007/978-1-4899-4541-9_22
SO-VID:
edd28ab4-e986-4f7e-b468-39df6ad667e1
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Book chapters
pp. 1
Introduction
pp. 10
The accuracy of a sample mean
pp. 17
Random samples and probabilities
pp. 31
The empirical distribution function and the plug-in principle
pp. 39
Standard errors and estimated standard errors
pp. 45
The bootstrap estimate of standard error
pp. 60
Bootstrap standard errors: some examples
pp. 86
More complicated data structures
pp. 105
Regression models
pp. 124
Estimates of bias
pp. 141
The jackknife
pp. 153
Confidence intervals based on bootstrap “tables”
pp. 168
Confidence intervals based on bootstrap percentiles
pp. 178
Better bootstrap confidence intervals
pp. 202
Permutation tests
pp. 220
Hypothesis testing with the bootstrap
pp. 237
Cross-validation and other estimates of prediction error
pp. 258
Adaptive estimation and calibration
pp. 271
Assessing the error in bootstrap estimates
pp. 283
A geometrical representation for the bootstrap and jackknife
pp. 296
An overview of nonparametric and parametric inference
pp. 321
Further topics in bootstrap confidence intervals
pp. 338
Efficient bootstrap computations
pp. 358
Approximate likelihoods
pp. 372
Bootstrap bioequivalence and power calculations: a case history
pp. 392
Discussion and further topics
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