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A practical method is discussed for determining the amount of smoothing when using the kernel method to estimate a probability density from independent identically distributed observations. Both the univariate and the multivariate cases are considered. The method is illustrated by the analysis of several sets of data; the theoretical motivation and justification are also provided.
B. W. Silverman (Sun,) studied this question.
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