The Asymptotics of Rousseeuw's Minimum Volume Ellipsoid Estimator
The Annals of StatisticsPublished 1 December 1992Open access
Laurie Davies
Citations128
SJR quartileQ1
SJR score4.77
SNIP3.13
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Rousseeuw's minimum volume estimator for multivariate location and dispersion parameters has the highest possible breakdown point for an affine equivariant estimator. In this paper we establish that it satisfies a local Holder condition of order $1/2$ and converges weakly at the rate of $n^{-1/3}$ to a non-Gaussian distribution.
Keywords
MathematicsDecision Sciences
TechnometricsRobust Regression and Outlier Detection
6,183 Citations1989Gregory F. Piepel, Peter J. Rousseeuw +1 more
Journal of the American Statistical AssociationLeast Median of Squares Regression
3,524 Citations1984Peter J. Rousseeuw
Society for Industrial and Applied Mathematics eBooksEmpirical Processes with Applications to Statistics
2,346 Citations2009Galen R. Shorack, Jon A. Wellner
The Annals of StatisticsRobust $M$-Estimators of Multivariate Location and Scatter
947 Citations1976Ricardo A. Maronna
Lecture notes in statisticsRobust Regression by Means of S-Estimators
934 Citations1984Peter J. Rousseeuw, V. J. Yohai
A class of methods for robust regression is developed, based on estimators of scale, that are introduced because of their invulnerability to large fractions of contaminated data and are proposed to be called “S-estimators”.
The Annals of StatisticsBreakdown Points of Affine Equivariant Estimators of Multivariate Location and Covariance Matrices
455 Citations1991Hendrik P. Lopuhaä, Peter J. Rousseeuw
The Annals of StatisticsAsymptotic Behaviour of $S$-Estimates of Multivariate Location Parameters and Dispersion Matrices
427 Citations1987P. L. Davies
Lecture notes in statisticsRobust and Nonlinear Time Series Analysis
223 Citations1984Jürgen Franke, Wolfgang Karl Härdle +1 more
Journal of the American Statistical AssociationUnmasking Multivariate Outliers and Leverage Points: Comment
151 Citations1990R. Dennis Cook, Douglas M. Hawkins
BiometrikaOptimal design: Some geometrical aspects of D-optimality
106 Citations1975D. M. Titterington
The Annals of StatisticsThe Asymptotics of $S$-Estimators in the Linear Regression Model
100 Citations1990Laurie Davies
Discrete Applied MathematicsAlgorithms and complexity for least median of squares regression
72 Citations1986John Steele, William Steiger
This work provides a probabilistic speed-up of this algorithm which appears to have expected time complexity of O((n log(n))2).
SIAM Journal on Scientific and Statistical ComputingMinimum Covering Ellipses
71 Citations1980B. W. Silverman, D. M. Titterington
An exact terminating algorithm is developed for finding the ellipse of smallest area covering a given plane point set with the aid of a duality relation originally obtained in the theory of statistical experimental design.
Journal of Multivariate AnalysisAn efficient Fréchet differentiable high breakdown multivariate location and dispersion estimator
26 Citations1992Laurie Davies
