Robust automatic methods for outlier and error detection

Journal of the Royal Statistical Society. Series A: Statistics in Society

Volumn 167, Issue 2, 2004, Pages 323-339

  Chambers, Ray ^a   Hentges, Adão ^b   Zhao, Xinqiang ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

Author keywords

Gross errors; M estimates; Regression tree model; Representative outliers; Robust regression; Survey data editing

Indexed keywords

EID: 2342659698     PISSN: 09641998     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1467-985X.2004.00748.x     Document Type: Review

References (15)

1. Atkinson, A. C. and Riani, M. (2000) Robust Diagnostic Regression Analysis. New York: Springer.
2. Barnett, V. and Lewis, T. (1994) Outliers in Statistical Data. New York: Wiley.
3. Breiman, L., Friedman, J. H., Olshen, R. A. and Stone, C. J. (1984) Classification and Regression Trees. Pacific Grove: Wadsworth.
4. Chambers, R. L. (1986) Outlier robust finite population estimation. J. Am. Statist. Ass., 81, 1063-1069.
5. Chambers, R. L., Hoogland, J., Laaksonen, S., Mesa, D. M., Pannekoek, J., Piela, P., Tsai, P., and De Waal, T. (2001) The AUTIMP project: evaluation of imputation software. Voorburg: Statistics Netherlands.
6. Charlton, J., Chambers, R., Nordbotten, S., Hulliger, B., O'Keefe, S., Kokic, P. and Mallinson, H. (2001) New developments in edit and imputation practices-needs and research. In Proc. 53rd Sess. International Statistical Institute, Seoul, Aug. 22nd-29th, Volume of the International Association of Survey Statisticians.
7. Hadi, A. S. (1994) A modification of a method for the detection of outliers in multivariate samples. J. R. Statist. Soc. B, 56, 393-396.
8. Hadi, A. S. and Simonoff, J. F. (1993) Procedures for the identification of multiple outliers in linear models. J. Am. Statist. Ass., 88, 1264-1272.
9. Huber, P. J. (1981) Robust Statistics. New York: Wiley.
10. Ihaka, R. and Gentleman, R. (1996) R: a language for data analysis and graphics. J. Comput. Graph. Statist., 5, 299-314.
11. MathSoft (1999) S-PLUS 2000 User's Guide. Seattle: MathSoft.
12. Rousseeuw, P. J. and Leroy, A. M. (1987) Robust Regression and Outlier Detection. New York: Wiley.
13. SPSS (1998) AnswerTree 2.0 User's Guide. Chicago: SPSS.
14. Steinberg, D. and Colla, P. (1995) Tree-structured Non-parametric Data Analysis. San Diego: Salford Systems.
15. Venables, W. N. and Ripley, B. D. (1994) Modern Applied Statistics with S-PLUS. New York: Springer.