Recent Advances in Statistical Ranking and Selection: Theory and Methods

Abstract

This paper reviews some recent developments in the research area of ranking and selection, mainly, on the following topics: (a) Selecting the largest normal mean and estimating the selected mean, (b) empirical Bayes selection, (c) selecting the important regression variables, (d) sequential selection rules, and (e) lower confidence bounds for the probability of a correct selection. Related theoretic and methodological research will be surveyed. Statistical tests; Equations; Mathematical models.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1990
Accession Number
ADA223832

Entities

People

  • Shanti Gupta

Organizations

  • Purdue University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Computational Science
  • Computations
  • Data Science
  • Decision Theory
  • Distribution Functions
  • Information Science
  • Mathematical Models
  • Models
  • New York
  • Probability
  • Random Variables
  • Regression Analysis
  • Statistical Decision Theory
  • Statistical Tests
  • Statistics
  • Theorems
  • United States

Fields of Study

  • Mathematics

Readers

  • Instructional Design and Training Evaluation.
  • Neural Network Machine Learning.
  • Theoretical Analysis.