The power of monitoring: how to make the most of a contaminated multivariate sample
DOI10.1007/s10260-017-0409-8zbMath1427.62047OpenAlexW2768768685MaRDI QIDQ2324275
Marco Riani, Anthony C. Atkinson, Aldo Corbellini, Andrea Cerioli
Publication date: 11 September 2019
Published in: Statistical Methods and Applications (Search for Journal in Brave)
Full work available at URL: http://eprints.lse.ac.uk/87161/1/Atkinson_Power%20of%20monitoring_2018.pdf
trimmingforward searchoutlier detectiondiagnostic toolsS-estimationreweightingmultivariate sampleMM-estimationrobust methodologydata movierobust high-breakdown methodologies
Estimation in multivariate analysis (62H12) Nonparametric robustness (62G35) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Statistics of extreme values; tail inference (62G32) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Diagnostics, and linear inference and regression (62J20)
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Cites Work
- Unnamed Item
- The minimum regularized covariance determinant estimator
- A parametric framework for the comparison of methods of very robust regression
- Analysis of the forward search using some new results for martingales and empirical processes
- Error rates for multivariate outlier detection
- Fast calibrations of the forward search for testing multiple outliers in regression
- Multivariate functional outlier detection
- High breakdown-point and high efficiency robust estimates for regression
- Breakdown points of affine equivariant estimators of multivariate location and covariance matrices
- Small sample corrections for LTS and MCD
- High-breakdown robust multivariate methods
- Exploratory tools for clustering multivariate data
- Asymptotic behaviour of S-estimates of multivariate location parameters and dispersion matrices
- Exploring multivariate data with the forward search.
- Robust diagnostic regression analysis
- Robust estimators of accelerated failure time regression with generalized log-gamma errors
- Robust Bayesian regression with the forward search: theory and data analysis
- A reweighting approach to robust clustering
- Sparse least trimmed squares regression for analyzing high-dimensional large data sets
- Influence function and efficiency of the minimum covariance determinant scatter matrix estimator
- A robust conditional maximum likelihood estimator for generalized linear models with a dispersion parameter
- Strong consistency and robustness of the forward search estimator of multivariate location and scatter
- Monitoring robust regression
- The forward search: theory and data analysis
- On consistency factors and efficiency of robust \(S\)-estimators
- Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models
- Finding an Unknown Number of Multivariate Outliers
- How to Marry Robustness and Applied Statistics
- Statistical Analysis of Financial Data in S-Plus
- AN ADAPTIVE TRIMMED LIKELIHOOD ALGORITHM FOR IDENTIFICATION OF MULTIVARIATE OUTLIERS
- A Look at Some Data on the Old Faithful Geyser
- Wild adaptive trimming for robust estimation and cluster analysis
- Robust Methods for Data Reduction
- Cluster detection and clustering with random start forward searches
- Multivariate Outlier Detection With High-Breakdown Estimators
- Robust Statistics
- Elliptical and Radial Truncation in Normal Populations
- Generalized Radius Processes for Elliptically Contoured Distributions
- Robust Statistics
- Reliable Robust Regression Diagnostics
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