Studies in Support of the Application of Statistical Theory to Design and Evaluation of Operational Tests. Annex B. An Application of Multiple Response Surface Optimization to the Analysis of Training Effects in Operational Test and Evaluation.

Abstract

This report is a summary report of four studies in support of the application of statistical theory to design and evaluation of operational tests. The four topics are: 'A Methodology for Determining the Power of MANOVA when the Observations are Serially Correlated'; 'An Application of Multiple Response Surface Optimization to the Analysis of Training Effects in Operational Test and Evaluation'; 'A Cost Optimal Approach to Selection of Experimental Designs for Operational Testing under Conditions of Constrained Sample Size'; and 'An Application of Bayesian Statistical Methods in the Determination of Sample Size for Operational Testing in the US Army'. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1975
Accession Number
ADA052073

Entities

People

  • Vernon Manuel Bettencourt Jr

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Cyber
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Coefficients
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computer Simulations
  • Computers
  • Experimental Design
  • Linear Programming
  • Mathematical Programming
  • Nonlinear Programming
  • Operations Research
  • Optimization
  • Surveys
  • Systems Engineering
  • Test And Evaluation

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Instructional Design and Training Evaluation.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms