Chapter
Bootstrap Inference
Abstract
Abstract 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.
Authors
Canty AJ; Davison AC
Book title
Encyclopedia of Statistics in Behavioral Science
Publisher
Wiley
Publication Date
April 15, 2005
DOI
10.1002/0470013192.bsa057