Robust Statistics: A Survey and Some Prescriptions
- 1 December 1976
- journal article
- Published by American Educational Research Association (AERA) in Journal of Educational Statistics
- Vol. 1 (4) , 285-312
- https://doi.org/10.3102/10769986001004285
Abstract
It is noted that the usual estimators that are optimal under a Gaussian assumption are very vulnerable to the effects of outliers. A survey of robust alternatives to the mean, standard deviation, product moment correlation, t-test, and analysis of variance is offered. Robust methods of factor analysis, principal components analysis and multivariate analysis of variance are also surveyed, as are schemes for outlier detection.Keywords
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