Journal of the Japan Statistical Society, Japanese Issue
Online ISSN : 2189-1478
Print ISSN : 0389-5602
ISSN-L : 0389-5602
ON A KERNEL-TYPE DECISION FUNCTION FOR SELECTION OF A SUBPOPULATION
Kazuo Noda
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1980 Volume 10 Issue 1 Pages 17-27

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Abstract
A decision function _??_*n which takes the place of an optimum selection φ* of a subpopulation (or a subset) of individuals from a population is given on the basis of a kernel-type estimator _??_n of a regression function η, where _??_n has the form similar to the Perzen Kernel-type density estimator. Further the risk of _??_ is evaluated with a given sample size n. As a preparation of the above-mentioned result, an integration of the mean square error of _??_n is also evaluated.
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