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Efron's bootstrap
Author(s) -
Boos Dennis,
Stefanski Leonard
Publication year - 2010
Publication title -
significance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 21
eISSN - 1740-9713
pISSN - 1740-9705
DOI - 10.1111/j.1740-9713.2010.00463.x
Subject(s) - statistic , sampling distribution , inference , statistical inference , computer science , simple random sample , simple (philosophy) , sampling (signal processing) , statistics , econometrics , mathematics , artificial intelligence , philosophy , demography , epistemology , sociology , population , filter (signal processing) , computer vision
The bootstrap was introduced by Brad Efron in the Late 1970s. It is a computer‐intensive method for approximating the sampling distribution of any statistic derived from a random sample. Here Dennis Boos and Leonard Stefanski give simple examples to show how the bootstrap is used and help to explain its enormous success as a tool of statistical inference.