Representations of the Space of Distributions Useful in Robust Estimation of Location
用于稳健位置估计的分布空间表示
In many situations it is useful to have a low-dimensional representation of the space of distributions. This paper gives one-, two- and three-dimensional representations which are particularly relevant to the study of robust estimation of location based on rank estimators. The distances are defined as functions of the asymptotic relative efficiency of the most efficient rank estimator for one distribution when used on data from another distribution. Values of these distance…