This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Wainer, H. Search for Related Content Social Bookmarking                         What's this?

Robust Statistics: A Survey and Some Prescriptions

The University of Chicago

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.

Key Words: Robust Statistics; Outliers • Trimmed Samples • Winsorized Samples • Influence Function • Stem-and-Leaf Diagram

Journal of Educational and Behavioral Statistics, Vol. 1, No. 4, 285-312 (1976)
DOI: 10.3102/10769986001004285


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?