• Corpus ID: 244909384

Mean and median bias reduction: A concise review and application to adjacent-categories logit models

@inproceedings{Kosmidis2021MeanAM,
  title={Mean and median bias reduction: A concise review and application to adjacent-categories logit models},
  author={Ioannis Kosmidis},
  year={2021}
}
The estimation of categorical response models using bias-reducing adjusted score equations has seen extensive theoretical research and applied use. The resulting estimates have been found to have superior frequentist properties to what maximum likelihood generally delivers and to be finite, even in cases where the maximum likelihood estimates are infinite. We briefly review mean and median bias reduction of maximum likelihood estimates via adjusted score equations in an illustration-driven way… 
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