The Concept of a Best Approximation as an Optimality Criterion in Statistical Decision Theory.

摘要

The concept of a best approximation from a convex set in a normed linear space is interpreted as a natural choice for a concept of optimality in statistical decision. The fundamental distinction for statistics is that there is a specific orientation to the approximation induced by the notion of admissibility in statistical decision theory.