A Non-Symmetric Sequential Procedure for Selecting the Better of Two Binomial Populations.

Abstract

A sequential decision procedure is considered for the problem of selecting the better of two Bernoulli populations. The procedure uses a play-the-winner sampling rule based on the difference between the numbers of successes from the two populations. Exact expressions for the probability of correct selection and for the expected sample sizes are obtained. Tables of stopping constants which guarantee a certain probability requirement are computed, along with certain associated expected sample sizes. A method for choosing optimal stopping constants is proposed. The procedure is shown to compare favorably with some other play-the-winner rules. Along with several other play-the-winner procedures which have been proposed, it suffers from the deficiency that it has very large expected sample sizes when the probabilities of success of both populations are very small and close to each other. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1973
Accession Number
AD0766468

Entities

People

  • Masanori Fushimi

Organizations

  • Cornell University

Tags

DTIC Thesaurus Topics

  • Binomials
  • Deficiencies
  • Guarantees
  • Probability
  • Sampling

Fields of Study

  • Mathematics

Readers

  • Quantum Chemistry
  • Statistical inference.