1 Robust inference in multivariate linear regression using difference of two convex functions as the discrepancy measure

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+	A brief biography and appreciation of Calyampudi Radhakrishna Rao, with a bibliography of his books and papers	1996	Simo Puntanen George P. H. Styan
+	Pre and Post Least Squares: The Emergence of Robust Estimation	1997	C. Radhakrishna Rao

Works Cited by This (26)

Action	Title	Year	Authors
+	14 On the strong consistency of M-estimates in linear models under a general discrepancy function	1993	Zhidong Bai Z.J. Liu C. Radhakrishna Rao
+	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
+ PDF Chat	<i>M</i>Estimation of Multivariate Regressions	1990	Roger Koenker Stephen Portnoy
+	Asymptotic theory of least distances estimate in multivariate linear models	1990	Zhidong Bai X.R. Chen Baojun Miao C. Radhakrishna Rao
+ PDF Chat	The 1972 Wald Lecture Robust Statistics: A Review	1972	Peter J. Huber
+ PDF Chat	Robust $M$-Estimators of Multivariate Location and Scatter	1976	Ricardo A. Maronna
+ 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