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Location of Outliers in Multiple Regression Using Resampled Values

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Author Info
D'Esposito, Maria Rosaria
Furno, Marilena

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Abstract

Within the regression context, this method begins with the set of exactly fitted coefficients determined from each "p"-dimensional subset of the sample. Outlying points in this "p"-dimensional coefficient space correspond to outliers in the original "n"-dimensional data space. Resampled values are used to detect points through a proposed detection rule that avoids masking and swamping and allows multiple outliers to be identified. Citation Copyright 1992 by Kluwer Academic Publishers.

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Publisher Info
Article provided by Springer in its journal Computer Science in Economics & Management.

Volume (Year): 5 (1992)
Issue (Month): 3 (August)
Pages: 171-82
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Handle: RePEc:kap:csecmg:v:5:y:1992:i:3:p:171-82

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