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

Abstract

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.

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1975
Accession Number
ADA020213

Entities

People

  • Bernard Harris
  • Gerhard Heindl

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Convex Sets
  • Data Science
  • Decision Theory
  • Information Science
  • Interdisciplinary Science
  • Mathematics
  • Orientation (Direction)
  • Statistical Decision Theory
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers