Conditionally Unbiased Bounded Influence Robust Regression with Applications to Generalized Linear Models

摘要

This document proposes a class of bounded influence robust regression estimators with conditionally unbiased estimating functions given the design. Optimal estimators are found within this class. Applications are made to generalized linear models. An example applying logistic regression to food stamp data is discussed.