An Elimination Type Two-Stage Procedure for Selecting the Population with the Largest Mean from K Logistic Populations.

Abstract

A formula for an approximation to the distribution of the sample means of a logistic population is derived by using the Edgeworth series expansions. Using this approximation, the authors consider an elimination type two-stage procedure based on the sample means for selecting the population with the largest mean from k logistic populations when the common variance is known. A table of the constants needed to implement this procedure is provided and the efficiency of this procedure relative to the single-stage procedure is investigated. Keywords: Random variables; Tables(Data). (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1987
Accession Number
ADA185614

Entities

People

  • Shanghyun Han
  • Shanti Gupta

Organizations

  • Purdue University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Computations
  • Data Science
  • Distribution Functions
  • Efficiency
  • Elimination
  • Estimators
  • Information Science
  • Military Research
  • Optimization
  • Probability
  • Random Variables
  • Security
  • Statistics
  • Theorems
  • United States Government

Fields of Study

  • Mathematics

Readers

  • Statistical inference.