Introduction to the Bootstrap

Name: Introduction to the Bootstrap
Price: 59.25 USD
Availability: InStock
ISBN: 9780412042317

ISBN-10: 0412042312

ISBN-13: 9780412042317

Edition: 1994

Authors: Bradley Efron, R.J. Tibshirani

List price: $165.00

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Description:

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.

Book details

List price: $165.00
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: 1.694

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.



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