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December, 1986 On the Bootstrap and Confidence Intervals
Peter Hall
Ann. Statist. 14(4): 1431-1452 (December, 1986). DOI: 10.1214/aos/1176350168


We derive an explicit formula for the first term in an unconditional Edgeworth-type expansion of coverage probability for the nonparametric bootstrap technique applied to a very broad class of "Studentized" statistics. The class includes sample mean, $k$-sample mean, sample correlation coefficient, maximum likelihood estimators expressible as functions of vector means, etc. We suggest that the bootstrap is really an empiric one-term Edgeworth inversion, with the bootstrap simulations implicitly estimating the first term in an Edgeworth expansion. This view of the bootstrap is reinforced by our discussion of the iterated bootstrap, which inverts an Edgeworth expansion to arbitrary order by simulating simulations.


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Peter Hall. "On the Bootstrap and Confidence Intervals." Ann. Statist. 14 (4) 1431 - 1452, December, 1986.


Published: December, 1986
First available in Project Euclid: 12 April 2007

zbMATH: 0611.62047
MathSciNet: MR868310
Digital Object Identifier: 10.1214/aos/1176350168

Primary: 62E20
Secondary: 62G05

Rights: Copyright © 1986 Institute of Mathematical Statistics


Vol.14 • No. 4 • December, 1986
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