On Multiple Decision (Subset Selection) Procedures

Abstract

The report is a survey of developments and significant results in the area of multiple decision procedures under the subset selection formulation. Section 2 deals with procedures for location and scale parameters. A general theory of the subset selection problem and a decision-theoretic formulation are discussed in Section 3. Sections 4 through 7 deal with parametric and non- parametric procedures for discrete populations, multinomial cells and multivariate normal populations using single-stage sampling, inverse sampling and sequential sampling. Section 8 describes procedures applicable to restricted families of distributions such as the increasing failure rate (IFR) and increasing failure rate on the average (IFRA) distributions. Bayes and empirical Bayes procedures are discussed in Section 9. The last section summarizes briefly several modifications of the basic problem and goal.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1971
Accession Number
AD0734434

Entities

People

  • S. Panchapakesan
  • Shanti Gupta

Organizations

  • Purdue University

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Computational Science
  • Data Science
  • Decision Theory
  • Distribution Functions
  • Information Science
  • Multivariate Analysis
  • Normal Distribution
  • North Carolina
  • Order Statistics
  • Probability
  • Random Variables
  • Statistical Decision Theory
  • Statistics
  • Surveys
  • Theorems
  • United States

Fields of Study

  • Mathematics

Readers

  • Business Analytics
  • Regression Analysis.
  • Statistical inference.