Fast Very Robust Methods for the Detection of Multiple Outliers

DOI10.2307/2290995zbMath0825.62429OpenAlexW4252951588MaRDI QIDQ4323561

Publication date: 23 February 1995

Full work available at URL: https://doi.org/10.2307/2290995

Linear regression; mixed models (62J05) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items

Analysis of the forward search using some new results for martingales and empirical processes, On the Computation and Finite Sample Behavior of the Constrained M-Estimates for Multivariate Location and Scatter, REGRESSION DIAGNOSTICS FOR THE LEAST ABSOLUTE DEVIATIONS AND THE MINIMAX METHODS, Robust estimation of multivariate location and shape, High leverage points and vertical outliers resistant model selection in regression, Numerical reconstruction of the covariance matrix of a spherically truncated multinormal distribution, A new multiple outliers identification method in linear regression, Robust diagnostics for the heteroscedastic regression model, Determining the Number of Clusters Using Multivariate Ranks, Identification of Multiple Outliers in Logistic Regression, Robust confirmatory factor analysis based on the forward search algorithm, Robust estimation of efficient mean-variance frontiers, Cluster-based multivariate outlier identification and re-weighted regression in linear models, A fast algorithm for robust regression with penalised trimmed squares, Statistical significance of the LMS regression., An impartial trimming approach for joint dimension and sample reduction, A mixture-based approach to robust analysis of generalised linear models, Computational Connections between Robust Multivariate Analysis and Clustering, Resistant estimation of multivariate location using minimum spanning trees, A monitoring display of multivariate outliers, Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator, A simple more general boxplot method for identifying outliers, Robust regression diagnostics with data transformations, L1-norm projection pursuit principal component analysis, A robust forward weighted Lagrange multiplier test for conditional heteroscedasticity, Multiple deletion diagnostics in beta regression models, Analysis of the consecutive mean excision algorithms, Multiple outlier detection in multivariate data using self-organizing maps, Robust methods for the analysis of spatially autocorrelated data, Identifying multiple influential observations in linear regression, Comparing robust generalized variances and comments on efficiency, Density estimation of a unimodal continuous distribution in the presence of outliers, A review of robust regression and diagnostic procedures in linear regression, The forward search: theory and data analysis, The flood algorithm -- a multivariate, self-organizing-map-based, robust location and covariance estimator, Anomalous cluster detection in spatiotemporal meteorological fields, Identifying outliers with sequential fences, Exploratory tools for clustering multivariate data, Maximum trimmed likelihood estimator for multivariate mixed continuous and categorical data, Robust bivariate boxplots and multiple outlier detection., A procedure for the detection of multivariate outliers., Influence diagnostics for multivariate GARCH processes, On robust linear regression with incomplete data, Applied regression analysis bibliography update 1994-97, BACON: blocked adaptive computationally efficient outlier nominators., Automatic Editing for Business Surveys: An Assessment of Selected Algorithms, Minimum variance quadratic unbiased estimators as a tool to identify compound normal distributions, Correcting outliers in GARCH models: a weighted forward approach, AN ADAPTIVE TRIMMED LIKELIHOOD ALGORITHM FOR IDENTIFICATION OF MULTIVARIATE OUTLIERS, Robust location estimation under dependence, Outliers detection in multivariate spatial linear models, Identifying multivariate discordant observations: a computer-intensive approach., Goodness-of-fit analysis for multivariate normality based on generalized quantiles., Discussion: The forward search: theory and data analysis

Uses Software

alr3