A bandwidth selection rule which proved to be useful and effective for nonparametric kernel regression is modified to be suitable for estimation of a density and its derivatives. Various versions of the rule are considered. Theoretical properties are derived. A simulation study compares its finite-sample behavior with that of other bandwidth selectors.
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Engel et al. (1994) studied this question.
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