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Outlier Detection via Parsimonious Mixtures of Contaminated Gaussian Distributions
Mixture models Model-based classification EM algorithm Contaminated Gaussian distribution Outlier detection Robust estimates Trimmed clustering
2013/6/14
For multivariate continuous data, the contaminated Gaussian distribution - having two parameters indicating the proportion of outliers and the degree of contamination - represents a convenient and nat...
Outlier Detection in Contingency Tables based on Minimal Patterns
Robust estimators Loglinear models Minimal patterns.
2012/9/19
In this paper we introduce a new technique for the detection of outliers in contingency tables. Outliers are defined with respect to classical loglinear
Poisson models. For the computations, we defin...
Outlier detection and trimmed estimation in general functional spaces
Abstract Inference Data depth Outlier detection Robust statistics Stochastic processes
2010/3/9
This article introduces trimmed estimators for the mean and covariance functional
of data in general Hilbert spaces. The estimators are based on a data depth measure
that can be computed on any Hilb...
Graphical display in outlier diagnostics：adequacy and robustness
Masking outlier robust diagnostics robust residuals swamping
2009/2/23
Outlier robust diagnostics (graphically) using Robustly Studentized Robust Residuals (RSRR) and
Partial Robustly Studentized Robust Residuals (PRSRR) are established. One problem with some
robust re...