How to Marry Robustness and Applied Statistics

DOI10.1007/978-3-319-44093-4_6zbMath1357.62236OpenAlexW2530051348MaRDI QIDQ2963075

Andrea Cerioli, Marco Riani, Anthony C. Atkinson

Publication date: 10 February 2017

Published in: Topics on Methodological and Applied Statistical Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-44093-4_6

zbMATH Keywords

robustnessdata analysisapplied statisticsdata contaminationsensitiveregression problem

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric robustness (62G35) Linear regression; mixed models (62J05) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items

The power of monitoring: how to make the most of a contaminated multivariate sample ⋮ Rejoinder to the discussion of ``The power of monitoring: how to make the most of a contaminated multivariate sample

Uses Software

• robustbase
• FSDA

Cites Work

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