DEVELOPMENT OF NON-PARAMETRIC TECHNIQUES TO THE RELIABILITY TESTING OF AIR FORCE GROUND ELECTRONIC EQUIPMENT

Abstract

This is a study of several randomization tests of statistical inference. For testing the random ness of a sequence of observations, the runs test and the serial correlation test are discussed. Some aspects of decision theory are discussed. Among the topics considered are definitions, basic principles, the pay-off matrix, utility theory, and principles of choice. The report concludes with critical comments on utility theory and principles of choice.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1962
Accession Number
AD0407122

Entities

People

  • Daniel Goss
  • Thomas J. Burke

Organizations

  • Utica University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Data Science
  • Decision Theory
  • Electronic Equipment
  • Government Procurement
  • Governments
  • Information Science
  • New York
  • Probability
  • Probability Distributions
  • Statistical Decision Theory
  • Statistical Inference
  • Statistical Samples
  • Statistical Sampling
  • Statistics
  • Theorems
  • United States

Readers

  • Game Theory.
  • Software Engineering
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • Microelectronics