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Estimators of the multiple correlation coefficient: Local robustness and confidence intervals

, and . Statistical Papers, (2003)
DOI: 10.1007/s00362-003-0158-7

Abstract

Many robust regression estimators are defined by minimizing a measure of spread of the residuals. An accompanying R 2 -measure, or multiple correlation coefficient, is then easily obtained. In this paper, local robustness properties of these robust R 2 -coefficients are investigated. It is also shown how confidence intervals for the population multiple correlation coefficient can be constructed in the case of multivariate normality.

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Statistical Papers, Volume 44, Number 3 - SpringerLink

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