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Data based bandwidth selection in kernel density estimation with parametric start via kernel contrasts

โœ Scribed by Ahmad, Ibrahim A.; Ran, Iris S.


Book ID
126910459
Publisher
Taylor and Francis Group
Year
2004
Tongue
English
Weight
756 KB
Volume
16
Category
Article
ISSN
1048-5252

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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