On necessary conditions for the weak consistency of minimum L1-norm estimates in linear models

Zhidong Bai, Yuehua Wu

Type: Article

Publication Date: 1997-06-01

Citations: 3

DOI: https://doi.org/10.1016/s0167-7152(96)00182-4

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Statistics & Probability Letters - View

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+	A Comparison of Different Methods for LAD Regression	2010	Haijun Chen Xiao Ling Liu Ling Hui Liu
+	Least absolute value regression: recent contributions	2005	T. E. Dielman
+	Minimum<i>L</i><sub><i>p</i></sub>Norm Estimator for Simple Linear Regressive Model	2010	Yu Miao Guangyu Yang Jianyong Mu

Works Cited by This (11)

Action	Title	Year	Authors
+	A Note on the Consistency of M-Estimates in Linear Models	1993	L.C. Zhao C. Radhakrishna Rao X. R. Chen
+	Strong consistency of M-estimates in linear models	1988	X. R. Chen Yuehua Wu
+	Probability Inequalities for the Sum of Independent Random Variables	1962	G. G. Bennett
+	Two Stage Least Absolute Deviations Estimators	1982	Takeshi Amemiya
+ PDF Chat	A general Bahadur representation of M-estimators and its application to linear regression with nonstochastic designs	1996	Xuming He Qi-Man Shao
+ PDF Chat	The Consistency of Nonlinear Regression Minimizing the $L_1$-Norm	1982	Walter Oberhofer
+	On a necessary condition for the consistency of the l<sub>1</sub>estimates in linear regression models	1993	Xuerong Chen Yuehua Wu
+	Strong consistency and exponential rate of the “minimum L1-norm” estimates in linear regression models	1988	Yuehua Wu
+	Probability and Statistics	1992	Peter E. Kloeden Eckhard Platen
+	PROBABILITY and STATISTICS	1992	Ze-Pei Jiang Yan Shi-Jian Ping Cheng Rong Wu