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Presentation of smoothers: the family approach

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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.

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3 Acknowledgments

This research was partially supported by NSF Grant DMS-9203135, and by the Division of Mathematics and Statistics, CSIRO.

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Authors and Affiliations

  1. Department of Statistics, University of North Carolina, Chapel Hill, N.C., 27599-3260, USA

    J. S. Marron

  2. Department of Statistics, Chonbuk University, Chonju, Chonbuk 561-756, Korea

    S. S. Chung

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  1. J. S. Marron
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  2. S. S. Chung
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Marron, J.S., Chung, S.S. Presentation of smoothers: the family approach. Computational Statistics 16, 195–207 (2001). https://doi.org/10.1007/s001800100059

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