## The Annals of Statistics

### On the Bootstrap and Confidence Intervals

Peter Hall

#### Abstract

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.

#### Article information

Source
Ann. Statist., Volume 14, Number 4 (1986), 1431-1452.

Dates
First available in Project Euclid: 12 April 2007

https://projecteuclid.org/euclid.aos/1176350168

Digital Object Identifier
doi:10.1214/aos/1176350168

Mathematical Reviews number (MathSciNet)
MR868310

Zentralblatt MATH identifier
0611.62047

JSTOR

Subjects
Primary: 62E20: Asymptotic distribution theory
Secondary: 62G05: Estimation

#### Citation

Hall, Peter. On the Bootstrap and Confidence Intervals. Ann. Statist. 14 (1986), no. 4, 1431--1452. doi:10.1214/aos/1176350168. https://projecteuclid.org/euclid.aos/1176350168