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This paper provides a practical description of density estimation based on kernel methods. An important aim is to encourage practicing statisticians to apply these methods to data. As such, reference is made to implementations of these methods in R, S-PLUS and SAS.
Keyword:
kernel density estimation
bandwidth selection
local likelihood density estimates
data sharpening
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3.4
论文数:
1.0K
被引数:
8.7K
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