Breakdown points of Cauchy regression-scale estimators

[1]  B. Ripley,et al.  Robust Statistics , 2018, Encyclopedia of Mathematical Geosciences.

[2]  Peter J. Rousseeuw,et al.  Robust Regression and Outlier Detection , 2005, Wiley Series in Probability and Statistics.

[3]  Guangyu Wang,et al.  Breakdown points of t-type regression estimators , 2000 .

[4]  C. Müller,et al.  Breakdown points and variation exponents of robust $M$-estimators in linear models , 1999 .

[5]  B. Price,et al.  Robust Planning and Analysis of Experiments , 1997 .

[6]  Christine H. Müller,et al.  Breakdown points for designed experiments , 1995 .

[7]  Yadolah Dodge,et al.  L 1 -Statistical Analysis and Related Methods. , 1993 .

[8]  S. P. Ellis,et al.  Leverage and Breakdown in L 1 Regression , 1992 .

[9]  Xuming He TAIL BEHAVIOR OF REGRESSION ESTIMATORS AND THEIR BREAKDOWN POINTS , 1990 .

[10]  Jeremy MG Taylor,et al.  Robust Statistical Modeling Using the t Distribution , 1989 .

[11]  John Law,et al.  Robust Statistics—The Approach Based on Influence Functions , 1986 .

[12]  P. J. Huber Finite Sample Breakdown of $M$- and $P$-Estimators , 1984 .

[13]  Gorm Gabrielsen,et al.  On the unimodality of the likelihood for the Cauchy distribution: Some comments , 1982 .

[14]  J. B. Copas,et al.  On the unimodality of the likelihood for the Cauchy distribution , 1975 .

[15]  P. Rousseeuw,et al.  Alternatives to the Median Absolute Deviation , 1993 .

[16]  P. Rousseeuw,et al.  Explicit scale estimators with high breakdown point , 1992 .

[17]  V. Yohai,et al.  Bias- and efficiency-robustness of general M-estimators for regression with random carriers , 1979 .