Bias reduction in kernel density estimation via Lipschitz condition
نویسندگان
چکیده
منابع مشابه
The Relative Improvement of Bias Reduction in Density Estimator Using Geometric Extrapolated Kernel
One of a nonparametric procedures used to estimate densities is kernel method. In this paper, in order to reduce bias of kernel density estimation, methods such as usual kernel(UK), geometric extrapolation usual kernel(GEUK), a bias reduction kernel(BRK) and a geometric extrapolation bias reduction kernel(GEBRK) are introduced. Theoretical properties, including the selection of smoothness para...
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ژورنال
عنوان ژورنال: Journal of Nonparametric Statistics
سال: 2010
ISSN: 1048-5252,1029-0311
DOI: 10.1080/10485250903266058