Contributions to Selection and Ranking Theory with Special Reference to Logistic Populations.

Abstract

Selection and ranking (more broadly multiple decision) problems arise in many practical situations where the so-called tests of homogeneity do not provide the answers the experimenter wants. The logistic distribution has been applied in studies of population growth, of mental ability, of bio-assay, of life test data and of biochemical data, but the complete distribution of the sample means and variances of a logistic population has not been obtained yet. This paper studies the selection and ranking problems for logistic populations and an elimination type two-stage procedure for selecting the best population using a restricted subset selection rule in its first stage. Keywords: Edgeworth series expansions; Mean; Tables(Data); Statistical data.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1987
Accession Number
ADA185629

Entities

People

  • Sanghyun Han

Organizations

  • Purdue University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Bioassay
  • Classification
  • Computations
  • Data Science
  • Decision Theory
  • Elimination
  • Estimators
  • Homogeneity
  • Information Science
  • Life Tests
  • New York
  • Normal Distribution
  • Order Statistics
  • Random Variables
  • Sampling
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Theoretical Analysis.