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Optimal allocation in sequential tests comparing the means of two gaussian populations

  • Thomas A. Louis

Research output: Contribution to journalArticlepeer-review

Abstract

The invariant sequential probability ratio test used in testing for a difference between the means of two Gaussian populations is set up. The error probabilities for this test are effectively constant over a rich class of data-dependent allocation rules. The additional risk, average sample number plus (γ - 1) timss the expected number of observations to the inferior population, for γ ≥ 1, is introduced and the optimal allocation rule is found for the continuous-time analogue to this problem. Analytical results show this rule to be asymptotically optimal in discrete time, and simulations indicate its near optimal performance for the finite case.

Original languageEnglish (US)
Pages (from-to)359-369
Number of pages11
JournalBiometrika
Volume62
Issue number2
DOIs
StatePublished - Aug 1975
Externally publishedYes

Keywords

  • Clinical trials
  • Optimal allocation of observations
  • Sequential design of experiments
  • Two-population hypothesis tests

ASJC Scopus subject areas

  • Statistics and Probability
  • General Mathematics
  • Agricultural and Biological Sciences (miscellaneous)
  • General Agricultural and Biological Sciences
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

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