An Introduction to the Bootstrap: 1st Edition (Hardback) book cover

An Introduction to the Bootstrap

1st Edition

By Bradley Efron, R.J. Tibshirani

Chapman and Hall/CRC

456 pages

Purchasing Options:$ = USD
Hardback: 9780412042317
pub: 1994-05-15
SAVE ~$23.25
$155.00
$131.75
x


FREE Standard Shipping!

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.

Reviews

"…an excellent book, and worth a reading by most students and practitioners in statistics… Throughout the book, the authors have spent a lot of effort in introducing difficult ideas in a simple, easy-to-understand manner…"

- Hong Kong Statistical Society Newsletter

"… written in a style that makes difficult statistical concepts easy to understand …a wonderful text for the engineer who would like to apply and understand the many different bootstrap techniques that have appeared in the literature in the last fifteen years. It makes an excellent reference text that should grace the shelves of both statisticians and non-statisticians."

- Journal of Quality Technology

Table of Contents

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

About the Series

Chapman & Hall/CRC Monographs on Statistics and Applied Probability

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
MAT029000
MATHEMATICS / Probability & Statistics / General