Journal of applied mathematics & informatics
- Volume 3 Issue 2
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- Pages.205-216
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- 1996
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- 2734-1194(pISSN)
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- 2234-8417(eISSN)
AN EFFECTIVE BANDWIDTDTH SELECTOR IN A COMPLICATED KERNEL REGRESSION
- Oh, Jong-Chul (Department of Computer Science and Statistics Kunsan National University)
- Published : 1996.03.01
Abstract
The field of nonparametrics has shown its appeal in re-cent years with anarray of new tools for statistical analysis. As one of those tools nonparametric regression has become a prominent statis-tical research topic and also has been well established as a useful tool. In this article we investigate the biased cross-validation selector, BCV, which is proposed by Oh et al. (1995) for a less smoothing regression function. In the simulation study BCV selector is shown to perform well in parctice with respect to ASE ratio.
Keywords