From the help desk: Bootstrapped standard errors

Bootstrapping is a nonparametric approach for evaluating the distribution of a statistic based on random resampling. This article illustrates the bootstrap as an alternative method for estimating the standard errors when the theoretical calculation is complicated or not available in the current software.


Issue Date:
2003
Publication Type:
Journal Article
DOI and Other Identifiers:
st0034 (Other)
PURL Identifier:
http://purl.umn.edu/116034
Published in:
Stata Journal, Volume 03, Number 1
Page range:
71-80
Total Pages:
10

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 Record created 2017-04-01, last modified 2017-04-27

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