Robust ANalysis Of VAriance: An approach based on the Forward Search

Computational Statistics and Data Analysis

Volumn 51, Issue 10, 2007, Pages 5172-5183

  Bertaccini, Bruno ^a   Varriale, Roberta ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

ANOVA; Fisher F test; Forward search; Graphical methods; Outliers; Policy effectiveness; Robustness

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; GRAPHIC METHODS; MATHEMATICAL MODELS; ROBUSTNESS (CONTROL SYSTEMS);

FISHER F TEST; FORWARD SEARCH; OUTLIERS; POLICY EFFECTIVENESS;

ANALYSIS OF VARIANCE (ANOVA);

EID: 34247370195     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2006.08.010     Document Type: Article

References (7)

1. Atkinson A.C., and Riani M. Robust Diagnostic Regression Analysis (2000), Springer, New York
2. Barnett V. Outlier and order statistics. Commun. Statist. Theory Methods 17 (1988) 2109-2118
3. Barnett V., and Lewis T. Outliers in Statistical Data. third ed (1993), Wiley, New York
4. Bini, M., Bertaccini, B., Polverini, F., 2003. The use of outliers for the evaluation of public policy activities: the first year college drop out rate in Florence. Proceedings of the Joint Statistical Meetings of the American Statistical Association. August 2003, San Francisco.
5. Hampel, et al. Robust Statistics: The Approach Based on Influence Functions (1986), Wiley, New York
6. Staudte R.G., and Sheather S.J. Robust Estimation and Testing (1990), Wiley, New York
7. Tukey J.W. A survey of sampling from contaminated distribution. In: Olkin I. (Ed). Contributions to Probability and Statistics (1960), University Press, Stanford, California