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Potential for automatic bandwidth choice in variations on kernel density estimation

โœ Scribed by M.C. Jones


Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
586 KB
Volume
13
Category
Article
ISSN
0167-7152

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This paper studies the risks and bandwidth choices of a kernel estimate of the underlying density when the data are obtained from s independent biased samples. The main results of this paper give the asymptotic representation of the integrated squared errors and the mean integrated squared errors of