14 On the strong consistency of M-estimates in linear models under a general discrepancy function

Zhidong Bai, Z.J. Liu, C. Radhakrishna Rao

Type: Book-Chapter

Publication Date: 1993-01-01

Citations: 3

DOI: https://doi.org/10.1016/s0169-7161(05)80049-5

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Handbook of statistics - View

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Works That Cite This (2)

Action	Title	Year	Authors
+	A brief biography and appreciation of Calyampudi Radhakrishna Rao, with a bibliography of his books and papers	1996	Simo Puntanen George P. H. Styan
+	1 Robust inference in multivariate linear regression using difference of two convex functions as the discrepancy measure	1997	Zhidong Bai C. Radhakrishna Rao Yuehua Wu

Works Cited by This (18)

Action	Title	Year	Authors
+	Asymptotic Normality of Minimum L1-Norm Estimates in Linear Models	1987	Zhidong Bai X R Chen Yaohua Wu L.C. Zhao
+	M-estimation of multivariate linear regression parameters under a convex discrepancy function	1992	Zhidong Bai C. Radhakrishna Rao Yuehua Wu
+	The place of the in robust estimation	1987	Peter J. Huber
+	Asymptotic theory of least distances estimate in multivariate linear models	1990	Zhidong Bai X.R. Chen Baojun Miao C. Radhakrishna Rao
+ PDF Chat	Nonparametric Estimate of Regression Coefficients	1971	Jana Jurečková
+	Strong consistency of M-estimates in linear models	1988	X. R. Chen Yuehua Wu
+	Asymptotic normality of<i>r</i>-estimates in the linear model	1988	Siegfried Heiler Reinhart Willers
+	Joint asymptotic distribution of marginal quantiles and quantile functions in samples from a multivariate population	1988	G. Jogesh Babu C.Radhakrishna Rao
+	One-Step Huber Estimates in the Linear Model	1975	Peter J. Bickel
+ PDF Chat	Estimating Regression Coefficients by Minimizing the Dispersion of the Residuals	1972	Louis A. Jaeckel