On the Selection of the Best Gamma Population. Determination of Minimax Sample Sizes.

Abstract

Selecting the best Gamma population from a given set of Gamma populations is treated from a decision theoretic point of view. Cost of sampling and penalties for wrong decision play a role in the determination of optimum common sample sizes. Minimax sample sizes are determined under two different penalty functions. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1985
Accession Number
ADA166138

Entities

People

  • K. Subramanyam
  • M. Bhaskara Rao
  • N. Dailami

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Data Science
  • Distribution Functions
  • Information Science
  • Integrals
  • Mathematics
  • Multivariate Analysis
  • Normal Distribution
  • Probability
  • Probability Density Functions
  • Random Variables
  • Sampling
  • Statistical Samples
  • Statistics
  • Theorems
  • Universities

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