A review on robust M-estimators for regression analysis

Diego Q.F. de Menezes, Diego Martinez Prata, Argimiro R. Secchi, José Carlos Pinto

Type: Review

Publication Date: 2021-02-06

Citations: 111

DOI: https://doi.org/10.1016/j.compchemeng.2021.107254

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Computers & Chemical Engineering - View

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Works Cited by This (76)

Action	Title	Year	Authors
+	Rates of Consistency of Classical One-Side Tests	1984	Jana Jurečková
+	An Adaptive Choice of the Scale Parameter for M-Estimators	1980	Robert M. Bell
+	Comparative analysis of robust estimators on nonlinear dynamic data reconciliation	2008	Diego Martinez Prata José Carlos Pinto Enrique Luis Lima
+	Why Write Statistical Software? The Case of Robust Statistical Methods	2004	Arnold J. Stromberg
+	Robust Mahalanobis distances in power system state estimation	2002	Lamine Mili N.S. Vichare M.G. Cheniae Peter J. Rousseeuw
+	Optimal locally robust M-estimates of regression	1997	Vı́ctor J. Yohai Ruben H. Zamar
+	Studies in the history of probability and statistics XL Boscovich, Simpson and a 1760 manuscript note on fitting a linear relation	1984	Stephen M. Stigler
+	Simon Newcomb, Percy Daniell, and the History of Robust Estimation 1885–1920	1973	Stephen M. Stigler
+	Sharpening Wald-type inference in robust regression for small samples	2011	Manuel Koller Werner A. Stahel
+	The Influence Curve and its Role in Robust Estimation	1974	Frank R. Hampel