Bootstrapping Regression Models
TL;DR: In this article, it is shown that the bootstrap approximation to the distribution of the least squares estimates is valid and some error bounds are given, and the regression and correlation models are considered.
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Abstract: The regression and correlation models are considered. It is shown that the bootstrap approximation to the distribution of the least squares estimates is valid, and some error bounds are given.
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References
Bootstrap Methods: Another Look at the Jackknife
TL;DR: In this article, the authors discuss the problem of estimating the sampling distribution of a pre-specified random variable R(X, F) on the basis of the observed data x.