Before revision:  The estimators considered in this paper cover maximum likelihood estimators, skipped maximum likelihood estimators, Cram\'er-von-Mises Minimum Distance estimators, and , as a special case of quantile-based estimators, Pickands Estimator. We further consider an estimator matching the population median and an asymmetric, robust estimator of scale (kMAD) to the empirical ones (kMedMAD), which may be tuned to an expected FSBP of 34\%. These estimators are compared to one-step estimators distinguished as optimal in the shrinking neighborhood setting, i.e.;
After revision:  The estimators we primarily focus on, MBRE and OMSE, are one-step estimators distinguished as optimal in the shrinking neighborhood setting, i.e.;