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20102021
most citedEstimates of MM type for the multivariate linear model

26 citations · 59 across the 9 of their papers we have counts for

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6 papers · 1 filter

math.ST2019

Optimal robust estimators for families of distributions on the integers

Ricardo A. Maronna, Victor J. Yohai

Let F_{θ} be a family of distributions with support on the set of nonnegative integers Z_0. In this paper we derive the M-estimators with smallest gross error sensitivity (GES). We…

math.ST2015★ 5 cited

Robust and efficient estimation of high dimensional scatter and location

Ricardo A. Maronna, Victor J. Yohai

We deal with the equivariant estimation of scatter and location for p-dimensional data, giving emphasis to scatter. It it important that the estimators possess both a high efficien…

math.ST2013

High finite-sample efficiency and robustness based on distance-constrained maximum likelihood

Ricardo Maronna, Víctor Yohai

Good robust estimators can be tuned to combine a high breakdown point and a specified asymptotic efficiency at a central model. This happens in regression with MM- and tau-estimato…

math.ST2012

Consistency of M estimates for separable nonlinear regression models

Fasano María Victoria, Ricardo A. Maronna

Consider a nonlinear regression model : y_{i}=g(x_{i},θ)+e_{i}, i=1,...,n, where the x_{i} are random predictors x_{i} and θ is the unknown parameter vector ranging in a set Θ\subs…

math.ST2010★ 26 cited

Estimates of MM type for the multivariate linear model

Nadia L. Kudraszow, Ricardo A. Maronna

We propose a class of robust estimates for multivariate linear models. Based on the approach of MM estimation (Yohai 1987), we estimate the regression coefficients and the covarian…

math.ST2010★ 19 cited

Continuity and differentiability of regression M functionals

María V. Fasano, Ricardo A. Maronna, Mariela Sued +1

This paper deals with the Fisher-consistency, weak continuity and differentiability of estimating functionals corresponding to a class of both linear and nonlinear regression high…