Skip to content

An Introduction to the Bootstrap

Efron, B., & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. Chapman & Hall/CRC.

Type
Book
Intellectual base
Textbook
Year
1993
DOI
10.1201/9780429246593
ISBN
9780429246593
DOI registrant
Taylor & Francis (Chapman and Hall/CRC)
Link
https://archive.org/details/introductiontobo0000efro
Cited from
computer_science, philosophy, statistics_experimental_design

Cited by

6 citations across 6 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

  • Assumption
  • Bootstrapping
    • Efron's resample-from-sample bootstrap ports to causal inference under partial information

      This sourceComprehensive treatment of bootstrap resampling, confidence intervals, and hypothesis tests, including its use to estimate variability and uncertainty from the data alone.

      Supported in partVerified against the publisher's abstract

      The book's own abstract establishes Efron's bootstrap as a computer-based method of statistical inference; it says nothing about porting the bootstrap to causal inference under partial information.

      “The bootstrap is a computer-based method of statistical inference that answers statistical questions without formulas and gives a direct appreciation of variance, bias, coverage, and other probabilistic phenomena.”

      From the publisher's abstract.

      Read by an automated reader; not a human review. How support was checked

  • Confidence Intervals
    • This sourceFoundational text on resampling-based inference, including percentile, bias-corrected, and BCa bootstrap confidence intervals.

  • Nonparametric Methods
    • Resampling methods (bootstrap

      This sourceEfron Tibshirani bootstrap confidence intervals resampling methods percentile BCa.

      Supported in partVerified against the publisher's abstract

      The publisher abstract establishes the bootstrap as a computer-based inference method answering statistical questions without formulas, but says nothing of permutation tests or computational cost.

      “The bootstrap is a computer-based method of statistical inference that answers statistical questions without formulas and gives a direct appreciation of variance, bias, coverage, and other probabilistic phenomena.”

      From the publisher's abstract.

      Read by an automated reader; not a human review. How support was checked

Mechanisms

Verification

Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.

Does it back the claim? Read against the text for 3 of 6 citations: 3 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.

Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.

See how references were verified.

Before the registry existed this work was also linked 2 other ways.

Registry ID ref:618f22ee021d · see in the full table