Abstract:
A new class of robust estimates, τ estimates, is introduced. The estimates have simultaneously the following properties: (a) they are qualitatively robust, (b) their breakdown point is .5, and (c) they are highly efficient for regression models with normal errors. They are defined by minimizing a new scale estimate, τ, applied to the residuals. Asymptotically, a τ estimate is equivalent to an M estimate with a ψ function given by a weighted average of two ψ functions, one corresponding to a very robust estimate and the other to a highly efficient estimate. The weights are adaptive and depend on the underlying error distribution. We prove consistency and asymptotic normality and give a convergent iterative computing algorithm. Finally, we compare the biases produced by gross error contamination in the τ estimates and optimal bounded-influence estimates. © 1976 Taylor & Francis Group, LLC.
Registro:
Documento: |
Artículo
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Título: | High breakdown-point estimates of regression by means of the minimization of an efficient scale |
Autor: | Yohai, V.J.; Zamar, R.H. |
Filiación: | Departamento de Matematica, Facultad de C. Exactas y Naturales, Universidad de Buenos Aires, Pabellon 1, Buenos Aires, 1428, Argentina Centro de Estudios de Macroeconomia de Argentina, Virrey del Pino 3210, Buenos Aires, 1428, Argentina Department of Statistics, University of British Columbia, Vancouver, BC, V6T 1W5, Canada
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Palabras clave: | Bias robustness; High efficiency; Robust estimate |
Año: | 1988
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Volumen: | 83
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Número: | 402
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Página de inicio: | 406
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Página de fin: | 413
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DOI: |
http://dx.doi.org/10.1080/01621459.1988.10478611 |
Título revista: | Journal of the American Statistical Association
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Título revista abreviado: | J. Am. Stat. Assoc.
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ISSN: | 01621459
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Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01621459_v83_n402_p406_Yohai |
Referencias:
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- Hampel, F.R., (1968) Contributions to the Theory of Robust Estimation, , unpublished Ph.D. thesis, University of California, Berkeley
- Hampel, F.R., The Influence Curve and Its Role in Robust Estimation (1974) Journal of the American Statistical Association, 69, pp. 383-393
- Huber, P.J., Robust Regression: Asymptotics, Conjectures and Monte Carlo (1973) The Annals of Statistics, 1, pp. 799-821
- Huber, P.J., (1981) Robust Statistics, , New York: John Wiley
- Krasker, W.S., Estimation of a Linear Regression Model With Disparate Data Points (1980) Econometrica, 48, pp. 1333-1346
- Krasker, W.S., Welsch, R.E., Efficient Bounded Influence Regression Estimation (1982) Journal of the American Statistical Association, 77, pp. 595-604
- Leroy, A., Rousseeuw, P., (1984) PROGRESS: A Program for Robust Regression Analysis, , Technical Report 201, University of Brussels, Center for Statistics and Operation Research
- Maronna, R.A., Bustos, O.H., Yohai, V.J., Bias- and Efficiency-Robustness of General M-Estimators for Regression With Random Carriers (1979) Smoothing Techniques for Curve Estimation, pp. 91-116. , (Lecture Note in Mathematics, 757), eds. T. Gasser and M. Rosenblatt, Berlin: Springer-Verlag
- Oldford, R.W., (1983) A Note on High Breakdown Regression Estimators, , technical report, Massachusetts Institute of Technology, Center for Computational Research in Economics and Management Science
- Rousseeuw, P.J., Least Median of Squares Regression (1984) Journal of the American Statistical Association, 79, pp. 871-880
- Rousseeuw, P.J., Yohai, V.J., Robust Regression by Means of S-Estimators (1984) Robust and Nonlinear Time Series, pp. 256-272. , (Lecture Notes in Statistics No. 26), eds. J. Franke, W. Härdle, and R. D. Martin, New York: Springer-Verlag
- Siegel, A.F., Robust Regression Using Repeated Medians (1982) Biometrika, 69, pp. 242-244
- Yohai, V.J., (1985) High Breakdown-Point and High Efficiency Robust Estimates for Regression, , Technical Report 66, University of Washington, Dept. of Statistics
- Yohai, V.J., Zamar, R.H., (1986) High Breakdown-Point Estimates of Regression by means of the Minimization of an Efficient Scale, , Technical Report 84, University of Washington, Dept. of Statistics
Citas:
---------- APA ----------
Yohai, V.J. & Zamar, R.H.
(1988)
. High breakdown-point estimates of regression by means of the minimization of an efficient scale. Journal of the American Statistical Association, 83(402), 406-413.
http://dx.doi.org/10.1080/01621459.1988.10478611---------- CHICAGO ----------
Yohai, V.J., Zamar, R.H.
"High breakdown-point estimates of regression by means of the minimization of an efficient scale"
. Journal of the American Statistical Association 83, no. 402
(1988) : 406-413.
http://dx.doi.org/10.1080/01621459.1988.10478611---------- MLA ----------
Yohai, V.J., Zamar, R.H.
"High breakdown-point estimates of regression by means of the minimization of an efficient scale"
. Journal of the American Statistical Association, vol. 83, no. 402, 1988, pp. 406-413.
http://dx.doi.org/10.1080/01621459.1988.10478611---------- VANCOUVER ----------
Yohai, V.J., Zamar, R.H. High breakdown-point estimates of regression by means of the minimization of an efficient scale. J. Am. Stat. Assoc. 1988;83(402):406-413.
http://dx.doi.org/10.1080/01621459.1988.10478611