A mixture-based approach to robust analysis of generalised linear models

DOI10.1080/02664763.2017.1414164OpenAlexW2778104454MaRDI QIDQ5036395

Ken J. Beath

Publication date: 23 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2017.1414164

zbMATH Keywords

outliersrobustnessPoisson regressionmixture modelbinomial regressiongeneralised linear model

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• R
• robustbase
• robGLM1

Cites Work

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• Adaptively truncated maximum likelihood regression with asymmetric errors.
• Robust diagnostic regression analysis
• Linear Models and Spurious Observations
• Mixture Models, Outliers, and the EM Algorithm
• Fast Very Robust Methods for the Detection of Multiple Outliers
• Robust Inference for Generalized Linear Models
• Masking unmasked
• Robust Estimation of a Location Parameter
• A Bayesian approach to some outlier problems
• Care and Handling of Univariate or Multivariate Outliners in Detecting Spuriosity: A Bayesian Approach

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