An improved ridge type estimator for logistic regression
نویسندگان
چکیده
Abstract In this paper, an improved ridge type estimator is introduced to overcome the effect of multi-collinearity in logistic regression. The proposed called a modified almost unbiased estimator. It obtained by combining and order asses superiority over existing estimators, theoretical comparisons based on mean square error scalar criterion are presented. A Monte Carlo simulation study carried out compare performance with ones. Finally, real data example provided support findings.
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ژورنال
عنوان ژورنال: Statistics in Transition New Series
سال: 2022
ISSN: ['1234-7655', '2450-0291']
DOI: https://doi.org/10.2478/stattrans-2022-0033