On Sequential Confidence Intervals for the Largest Normal Mean.

Abstract

We construct a competitor to Tong's method for defining a fixed-width confidence interval for the largest normal mean. This competitor eliminates inferior populations early in the experiment; a Monte-Carlo experiment shows that it can use significantly fewer observations than Tong's method without any real loss in observed coverage probability. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1978
Accession Number
ADA072599

Entities

People

  • Raymond J. Carroll

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Counter IED

DTIC Thesaurus Topics

  • Air Force
  • Data Science
  • Distribution Functions
  • Elimination
  • Information Science
  • Intervals
  • Normal Distribution
  • North Carolina
  • Observation
  • Probability
  • Sampling
  • Scientific Research
  • Security
  • Sequential Analysis
  • Simulations
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.