# Improved Point Estimation for the Rayleigh Regression Model

@article{Palm2022ImprovedPE, title={Improved Point Estimation for the Rayleigh Regression Model}, author={Bruna Gregory Palm and F{\'a}bio Mariano Bayer and Renato J. Cintra}, journal={IEEE Geoscience and Remote Sensing Letters}, year={2022}, volume={19}, pages={1-4} }

The Rayleigh regression model was recently proposed for modeling amplitude values of synthetic aperture radar (SAR) image pixels. However, inferences from such model are based on the maximum-likelihood estimators, which can be biased for small-signal lengths. The Rayleigh regression model for SAR images often considers small pixel windows, which may lead to inaccurate results. In this letter, we introduce bias-adjusted estimators tailored for the Rayleigh regression model based on: 1) Cox and…

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