| Reference: | Andrews, D. F. (1974), “A Robust Method for Multiple Linear Regression” Technometrics 16, 523-31.
Atkinson, A. C. (1973), “Testing Transformations to Normality” Journal of the Royal Statistical Society, Ser. B, 35, 473-479.
——— (1994), “Fast Very Robust Methods for the Detection of Multiple Outliers” Journal of the American Statistical Association, 89, 1329-1339.
Atkinson, A. C., and Cheng, T. C. (1999), “Computing Least Trimmed Squares Regression with the Forward Search” Statistics and Computing, 9, 251-263.
Box, G. E. P., and Cox, D. R. (1964), “An Analysis Of Transformations”(with discussion) Journal of the Royal Statistical Society, Ser. B, 26, 211-246.
Brownlee, K. A. (1965), Statistical Theory and Methodology in Science and Engineering (2nd edn.). New York: Wiley.
Daniel, C. and Wood, F. S. (1971), Fitting Equations to Data. New York: John Wiley.
Donoho, D. L., and Huber, P. J. (1983), The notion of breakdown point, in A Festschrift for Erich Lehmann, edited by P. Bickel, K. Doksum, and J. L. Hodges, Jr., Wadsworth, Belmont, CA.
Hawkins, D. M. (1994), “The Feasible Solution Algorithm for Least Trimmed Squares Regression” Computational Statistics and Data Analysis, 17, 185-196.
Hoaglin, D. C., and Velleman, P. F. (1995), “A Critical Look at Some Analyses of Major League Baseball Salaries” The American Statistician, 49, 277-285.
Rousseeuw, P. J. (1984), “Least Median of Squares Regression” Journal of the American Statistical Association, 79, 871-880.
Rousseeuw, P. J., and Driessen, K. V. (1999), ”Computing LTS Regression for Large Data Sets”, Technical Report, University of Antwerp.
Rousseeuw, P. J. and Leroy, A. M. (1987) Robust Regression and Outlier Detection, New York: John Wiley.
Siegel, A. F. (1982), ”Robust Regression Using Repeated Medians,” Biometrika, 69, 242-244. |
