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Location of Outliers in Multiple Regression Using Resampled Values

Maria Rosaria D'Esposito and Marilena Furno ()

Computer Science in Economics & Management, 1992, vol. 5, issue 3, 171-82

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.

Date: 1992
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