Robust distances for outlier-free goodness-of-fit testing

DOI10.1016/j.csda.2012.03.008zbMath1471.62036OpenAlexW2124035878WikidataQ59396912 ScholiaQ59396912MaRDI QIDQ1800105

Marco Riani, Andrea Cerioli, Alessio Farcomeni

Publication date: 19 October 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2012.03.008

zbMATH Keywords

multivariate normalitytrimmingfalse discovery ratebeta distributionreweighted MCDoutlier removal

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Hypothesis testing in multivariate analysis (62H15) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (16)

M-regression, false discovery rates and outlier detection with application to genetic association studies ⋮ A fuzzy approach to robust regression clustering ⋮ Reliable Robust Regression Diagnostics ⋮ Outlier-free merging of homogeneous groups of pre-classified observations under contamination ⋮ How to Marry Robustness and Applied Statistics ⋮ Strong consistency and robustness of the forward search estimator of multivariate location and scatter ⋮ Identification of local multivariate outliers ⋮ Wild adaptive trimming for robust estimation and cluster analysis ⋮ Tests for multivariate normality based on canonical correlations ⋮ Data science, big data and statistics ⋮ Weighted likelihood estimation of multivariate location and scatter ⋮ Density estimation of a unimodal continuous distribution in the presence of outliers ⋮ A MANOVA test for multivariate lognormal observations with a spike at zero, with application to ecological niches of South Africa ⋮ S-estimation of hidden Markov models ⋮ Special issue on robust analysis of complex data ⋮ A New Discordancy Test in Circular Data Using Spacings Theory

Uses Software

• robustbase
• rrcov

Cites Work

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