Presentation of smoothers: the family approach
J. S. Marron and
S. S. Chung
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J. S. Marron: University of North Carolina
S. S. Chung: Chonbuk University
Computational Statistics, 2001, vol. 16, issue 1, No 11, 195-207
Abstract:
Summary 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.
Keywords: bandwidth; density estimation; family approach; kernel smoothing; nonparametric regression (search for similar items in EconPapers)
Date: 2001
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Persistent link: https://EconPapers.repec.org/RePEc:spr:compst:v:16:y:2001:i:1:d:10.1007_s001800100059
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DOI: 10.1007/s001800100059
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