Referenced Items are not available for this document.
Estimation of the value of a regression function at a point of continuity using a kernel-type estimator is considered and improvements by a jackknife technique are discussed. It is seen that a so-called generalized jackknife estimator asymptotically improves upon an ordinary kernel-type estimator. However, for a fixed sample size the generalized jackknife method may inflate the mean-square error.
Published in:
Information Theory, IEEE Transactions on
(Volume:32
,
Issue:
2
)
Date of Publication: Mar 1986
- Page(s):
- 298 - 300
- ISSN :
- 0018-9448
- Digital Object Identifier :
- 10.1109/TIT.1986.1057142
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 January 2003
- Issue Date :
- Mar 1986
- Sponsored by :
- IEEE Information Theory Society
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