Cook's distance in spline smoothing

Choongrak Kim

Statistics & Probability Letters, 1996, vol. 31, issue 2, 139-144

Abstract: We present a version of Cook's distance that is applicable to groups of observations in spline smoothing and can be used for outlier detection when masking is present. We express them as functions of the basic diagnostic building blocks: residuals and leverage values. An example based on a real data set is given to illustrate the methods.

Keywords: Cook's; distance; Cross-validation; Influential; observation; Leverage; Masking; effect; Studentized; residual (search for similar items in EconPapers)
Date: 1996
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Citations: View citations in EconPapers (6)

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