Presentation of smoothers: the family approach
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The product of most statistical smoothing methods is a single curve estimate. A drawback of such methods is that what is learned varies with choice of the smoothing parameter. This paper proposes simultaneous display of all important features, through presentation of a family of smooths. Some suggestions are given as to how this should be done.
Keywordsbandwidth density estimation family approach kernel smoothing nonparametric regression
This research was partially supported by NSF Grant DMS-9203135, and by the Division of Mathematics and Statistics, CSIRO.
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