ArticleOriginal scientific text

Title

A note on robust estimation in logistic regression model

Authors 1

Affiliations

  1. 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

Bibliography

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Pages:
43-51
Main language of publication
English
Received
2015-12-21
Published
2016
Exact and natural sciences