9 citations · 9 across the 3 of their papers we have counts for
6 papers
Robust Model-Based Clustering
Juan D. Gonzalez, Ricardo Maronna, Victor J. Yohai +1
We propose a new class of robust and Fisher-consistent estimators for mixture models. These estimators can be used to construct robust model-based clustering procedures. We study i…
Robust multivariate methods in Chemometrics
Peter Filzmoser, Sven Serneels, Ricardo Maronna +1
This chapter presents an introduction to robust statistics with applications of a chemometric nature. Following a description of the basic ideas and concepts behind robust statisti…
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…
Robust principal components for irregularly spaced longitudinal data
Ricardo A. Maronna
Consider longitudinal data with and where is the th observation of the random function observed at time…
Improving the Peña-Prieto "KSD" procedure
Ricardo Maronna
Peña and Prieto (2007) proposed the "Kurtosis plus specific directions" (KSD) method for robust multivariate location and scatter estimation and outlier detection. Maronna and Yoha…
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…