Introduction to the Bootstrap

ISBN-10: 0412042312

ISBN-13: 9780412042317

Edition: 1994

List price: $139.95
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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.
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Book details

List price: $139.95
Copyright year: 1994
Publisher: CRC Press LLC
Publication date: 5/15/1994
Binding: Hardcover
Pages: 456
Size: 6.00" wide x 9.00" long x 1.25" tall
Weight: 1.496
Language: English

Bradley Efron is Max H. Stein Professor of Statistics and Biostatistics at the Stanford University School of Humanities and Sciences, and the Department of Health Research and Policy with the School of Medicine.

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
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