Adaptive Sequential Procedures for Selecting the Best of Several Normal Populations.

Abstract

Attention is restricted to procedures that guarantee that the population with the largest mean is correctly selected with probability at least P* where 1/k < P* < 1 is preassigned. Essentially, this requirement is satisfied by the stopping rule of independently of the sampling rule and thus data dependent allocation rules can be considered. Unlike the case k = 2, when k > or = 3, substantial savings in expected total sample size can be obtained when adaptive sampling is used instead of the equal allocation rule (vector at a time sampling). Several procedures are proposed and investigated with respect to this criterion.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1977
Accession Number
ADA046207

Entities

People

  • Bruce W. Turnbull
  • Haya Kaspi
  • Richard L. Smith

Organizations

  • Cornell University College of Engineering

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Clinical Trials
  • Data Science
  • Engineering
  • Guarantees
  • Identification
  • Industrial Engineering
  • Information Science
  • Monte Carlo Method
  • Multivariate Analysis
  • New York
  • Nose Cones
  • Probability
  • Sampling
  • Simulations
  • Surveys
  • Universities

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Systems Analysis and Design