book part or chapter
Bootstrap Inference
October 15, 2005
Encyclopedia of Statistics in Behavioral Science
Bootstrap methods are powerful and widely useful simulation procedures, whose applications include assessing the uncertainty of a statistical estimator, constructing a confidence interval, and computing the significance probability associated with a hypothesis test.
Type
book part or chapter
Scopus ID
2-s2.0-105023229171
Author(s)
Canty, A. J.
McMaster University
École Polytechnique Fédérale de Lausanne
Date Issued
2005-10-15
Publisher
Published in
Encyclopedia of Statistics in Behavioral Science
ISBN of the book
9780470013199
9780470065259
Start page
1
End page
8
Editorial or Peer reviewed
REVIEWED
Written at
EPFL
EPFL units
Available on Infoscience
December 8, 2025
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