ArticleOriginal scientific text
Title
A note on robust estimation in logistic regression model
Authors 1
Affiliations
- Wroclaw University
Abstract
Computationally attractive Fisher consistent robust estimation methods based on adaptive explanatory variables trimming are proposed for the logistic regression model. Results of a Monte Carlo experiment and a real data analysis show its good behavior for moderate sample sizes. The method is applicable when some distributional information about explanatory variables is available.
Keywords
logistic model, robust estimation
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