Journal
STATISTICAL SCIENCE
Volume 19, Issue 4, Pages 588-597Publisher
INST MATHEMATICAL STATISTICS-IMS
DOI: 10.1214/088342304000000297
Keywords
kernel density estimation; bandwidth selection; local likelihood density estimates; data sharpening
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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.
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