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SUMMARY A survey of some developments in bootstrap methodology is given. Topics include confidence limits, significance tests, empirical likelihoods, conditioning, double bootstrapping, and numerical techniques. Special attention is given to regression problems. There are brief remarks about more complex problems, including variance component problems, time series and nonparametric regression.
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D. V. Hinkley (1988) studied this question.
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