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February, 1986 Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy
B. Efron, R. Tibshirani
Statist. Sci. 1(1): 54-75 (February, 1986). DOI: 10.1214/ss/1177013815

Abstract

This is a review of bootstrap methods, concentrating on basic ideas and applications rather than theoretical considerations. It begins with an exposition of the bootstrap estimate of standard error for one-sample situations. Several examples, some involving quite complicated statistical procedures, are given. The bootstrap is then extended to other measures of statistical accuracy such as bias and prediction error, and to complicated data structures such as time series, censored data, and regression models. Several more examples are presented illustrating these ideas. The last third of the paper deals mainly with bootstrap confidence intervals.

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B. Efron. R. Tibshirani. "Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy." Statist. Sci. 1 (1) 54 - 75, February, 1986. https://doi.org/10.1214/ss/1177013815

Information

Published: February, 1986
First available in Project Euclid: 19 April 2007

zbMATH: 0587.62082
MathSciNet: MR833275
Digital Object Identifier: 10.1214/ss/1177013815

Rights: Copyright © 1986 Institute of Mathematical Statistics

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Vol.1 • No. 1 • February, 1986
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