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Efron: bootstrap methods and the jackknife

Introduced the bootstrap as a general resampling method for estimating sampling distributions from observed data and related the jackknife to a linear approximation of the bootstrap.

What is recorded here?

Introduced the bootstrap as a general resampling method for estimating sampling distributions from observed data and related the jackknife to a linear approximation of the bootstrap.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

The record is Efron's sole-author 1979 Annals of Statistics paper. Its demonstrations and satisfactory-performance statements concern the examples and estimands analyzed there; bootstrap validity still depends on sampling structure and regularity conditions.

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People and systems

Bradley Efron

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

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Documented countries / regions: United States

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English catalogue narrative

Efron: bootstrap methods and the jackknife

Introduced the bootstrap as a general resampling method for estimating sampling distributions from observed data and related the jackknife to a linear approximation of the bootstrap.

Scientific scope

The record is Efron's sole-author 1979 Annals of Statistics paper. Its demonstrations and satisfactory-performance statements concern the examples and estimands analyzed there; bootstrap validity still depends on sampling structure and regularity conditions.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Bradley Efron

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

Original sources