Ketan Singh

The Mean–Median Midpoint Estimator: Exact Risk Geometry, Sharp Class Constants, and Unexpected Gains from Equal Weighting

This paper studies the mean–median midpoint estimator, defined as the equal-weighted average of the sample mean and sample median, as a statistical decision rule under squared-error loss. The estimator itself is classical and is not generally optimal. The purpose is to determine...