An Introduction to the BootstrapCRC Press, 1994/05/15 - 456 ページ Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets. |
目次
The accuracy of a sample mean | 10 |
Random samples and probabilities | 17 |
The empirical distribution function and the plugin | 31 |
Standard errors and estimated standard errors | 39 |
The bootstrap estimate of standard error | 45 |
some examples | 60 |
More complicated data structures | 86 |
Regression models | 105 |
Crossvalidation and other estimates of prediction | 237 |
Adaptive estimation and calibration | 258 |
Assessing the error in bootstrap estimates | 271 |
A geometrical representation for the bootstrap | 283 |
An overview of nonparametric and parametric | 296 |
Further topics in bootstrap confidence intervals | 321 |
Efficient bootstrap computations | 338 |
Approximate likelihoods | 358 |
Estimates of bias | 124 |
The jackknife | 141 |
Confidence intervals based on bootstrap tables | 153 |
Confidence intervals based on bootstrap | 168 |
Better bootstrap confidence intervals | 178 |
Permutation tests | 202 |
Hypothesis testing with the bootstrap | 220 |
Bootstrap bioequivalence | 372 |
Discussion and further topics | 392 |
software for bootstrap computations | 398 |
| 413 | |
Author index | 426 |
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多く使われている語句
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