Robust Regression Examples


References

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  • Barnett, V., and Lewis, T. (1978). Outliers in Statistical Data. New York: John Wiley & Sons.

  • Barnett, V., and Lewis, T. (1994). Outliers in Statistical Data. 3rd ed. New York: John Wiley & Sons.

  • Barreto, H., and Maharry, D. (2006). “Least Median of Squares and Regression through the Origin.” Computational Statistics and Data Analysis 50:1391–1397.

  • Brownlee, K. A. (1965). Statistical Theory and Methodology in Science and Engineering. New York: John Wiley & Sons.

  • Chen, C. (2002). “Robust Tools in SAS.” In Developments in Robust Statistics: International Conference on Robust Statistics, edited by R. Dutter, P. Filzmoser, U. Gather, and P. J. Rousseeuw, 125–133. Heidelberg: Springer-Verlag.

  • Ezekiel, M., and Fox, K. A. (1959). Methods of Correlation and Regression Analysis. New York: John Wiley & Sons.

  • Humphreys, R. M. (1978). “Studies of Luminous Stars in Nearby Galaxies, Part 1: Supergiants and O Stars in the Milky Way.” Astrophysical Journal Supplement Series 38:309–350.

  • Jerison, H. J. (1973). Evolution of the Brain and Intelligence. New York: Academic Press.

  • Osborne, M. R. (1985). Finite Algorithms in Optimization and Data Analysis. New York: John Wiley & Sons.

  • Prescott, P. (1975). “An Approximate Test for Outliers in Linear Models.” Technometrics 17:129–132.

  • Rousseeuw, P. J. (1984). “Least Median of Squares Regression.” Journal of the American Statistical Association 79:871–880.

  • Rousseeuw, P. J. (1985). “Multivariate Estimation with High Breakdown Point.” In Mathematical Statistics and Applications, edited by W. Grossmann, G. Pflug, I. Vincze, and W. Wertz, 283–297. Dordrecht, Netherlands: D. Reidel Publishing.

  • Rousseeuw, P. J., and Hubert, M. (1996). “Recent Development in PROGRESS.” Computational Statistics and Data Analysis 21:67–85.

  • Rousseeuw, P. J., and Leroy, A. M. (1987). Robust Regression and Outlier Detection. New York: John Wiley & Sons.

  • Rousseeuw, P. J., and Van Driessen, K. (1999). “A Fast Algorithm for the Minimum Covariance Determinant Estimator.” Technometrics 41:212–223.

  • Rousseeuw, P. J., and Van Driessen, K. (2000). “An Algorithm for Positive-Breakdown Regression Based on Concentration Steps.” In Data Analysis: Scientific Modeling and Practical Application, edited by W. Gaul, O. Opitz, and M. Schader, 335–346. New York: Springer-Verlag.

  • Rousseeuw, P. J., and Van Zomeren, B. C. (1990). “Unmasking Multivariate Outliers and Leverage Points.” Journal of the American Statistical Association 85:633–639.

  • Vansina, F., and De Greve, J. P. (1982). “Close Binary Systems Before and After Mass Transfer.” Astrophysics and Space Science 87:377–401.