Subset Selection Procedures: A Review and an Assessment

Abstract

It is well over three decades since statistical inference problems were first posed in the now familiar selection and ranking framework. This paper deals with the subset selection theory mainly developed by Gupta and his associates. Our aim is to provide a historical perspective, and trace the major developments that took place in the subset selection theory over the years 1950- 1980 which is divided into three periods representing early developments, years of main growth and years of further strides. We also discuss recent developments and briefly assess the impact of these developments of the users.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1984
Accession Number
ADA140266

Entities

People

  • S. Panchapakesan
  • Sumedha Gupta

Organizations

  • Purdue University

Tags

Communities of Interest

  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Computational Science
  • Data Mining
  • Data Science
  • Decision Theory
  • Estimators
  • Experimental Design
  • Information Science
  • Knowledge Management
  • New York
  • Operations Research
  • Order Statistics
  • Probability
  • Probability Distributions
  • Statistical Algorithms
  • Statistical Decision Theory
  • Statistical Inference
  • Surveys

Readers

  • Statistical inference.
  • Strategic Security Studies
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy