Minimum Rényi pseudodistance estimators for logistic regression models

DOI10.1007/978-3-031-04137-2_13zbMath1497.62195OpenAlexW4283586306MaRDI QIDQ2087075

Juana M. Alonso, Aida Calviño, Susana Muñoz

Publication date: 26 October 2022

Full work available at URL: https://doi.org/10.1007/978-3-031-04137-2_13

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Asymptotic distribution theory in statistics (62E20) Generalized linear models (logistic models) (62J12) Robustness and adaptive procedures (parametric inference) (62F35) Bootstrap, jackknife and other resampling methods (62F40) Nonparametric statistical resampling methods (62G09)

Uses Software

• robustbase
• bootstrap

Cites Work

• Decomposable pseudodistances and applications in statistical estimation
• Robust median estimator in logistic regression
• Implementing the Bianco and Yohai estimator for logistic regression
• Optimal robust M-estimators using Rényi pseudodistances
• Robustness of minimum density power divergence estimators and Wald-type test statistics in loglinear models with multinomial sampling
• A Wald-type test statistic for testing linear hypothesis in logistic regression models based on minimum density power divergence estimator
• A comparison of related density-based minimum divergence estimators
• Minimum distance estimation for the logistic regression model
• Robust and efficient estimation by minimising a density power divergence
• A Wald-type test statistic based on robust modified median estimator in logistic regression models
• Robust Statistics
• Statistical Inference
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