Robust Statistics: A Survey and Some Prescriptions

Howard Wainer

Journal of Educational and Behavioral Statistics, 1976, vol. 1, issue 4, 285-312

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: Robust Statistics; Outliers; Trimmed Samples; Winsorized Samples; Influence Function; Stem-and-Leaf Diagram (search for similar items in EconPapers)
Date: 1976
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:1:y:1976:i:4:p:285-312

DOI: 10.3102/10769986001004285

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