Robust binary regression

DOI10.1016/j.jspi.2010.11.015zbMath1204.62065OpenAlexW2065187117MaRDI QIDQ622444

Sahar Hosseinian, Stephan Morgenthaler

Publication date: 31 January 2011

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2010.11.015

zbMATH Keywords

robustnesslogistic modelmaximum likelihoodgeneralized linear modelbounded influence function

Mathematics Subject Classification ID

Related Items (5)

Regularized robust estimation in binary regression models ⋮ Robust estimation for ordinal regression ⋮ Robust instance-dependent cost-sensitive classification ⋮ Robust Inference and Modeling of Mean and Dispersion for Generalized Linear Models ⋮ Robust link functions

Cites Work

• Implementing the Bianco and Yohai estimator for logistic regression
• Logistic regression diagnostics
• Weighted likelihood estimating equations: The discrete case with applications to logistic regression
• The breakdown behavior of the maximum likelihood estimator in the logistic regression model.
• Least-absolute-deviations fits for generalized linear models
• Robust Inference for Generalized Linear Models
• Conditionally Unbiased Bounded-Influence Estimation in General Regression Models, with Applications to Generalized Linear Models
• Robust Estimation of a Location Parameter
• THE ESTIMATION FROM INDIVIDUAL RECORDS OF THE RELATIONSHIP BETWEEN DOSE AND QUANTAL RESPONSE
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