Applications of Modern Statistical Techniques to Operational Testing

Abstract

Statistical data analysis techniques are a crucial part ofoperational test and evaluation. Operational testing is a critical part of the Department of Defenses acquisition program. Operational testing provides a realistic representation of scenarios in which systems will be used. Objective analysis of data generated from these tests is crucial for providing the warfighter with accurate information on the capabilities and limitations of these systems prior to their use in combat. Statistical approaches can ensure that the proper amount of data is collected and that the results from analysis are accurate and complete.

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Document Details

Document Type
Technical Report
Publication Date
Aug 02, 2016
Accession Number
AD1123394

Entities

People

  • Laura Freeman
  • Matthew Avery
  • Thomas M Johnson
  • V. Bram Lillard

Organizations

  • Institute for Defense Analyses

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Best Practices
  • Complex Systems
  • Data Analysis
  • Data Mining
  • Data Science
  • Department Of Defense
  • Experimental Design
  • Factorial Design
  • Fighter Aircraft
  • Information Science
  • Littoral Combat Ships
  • National Security
  • Projectiles
  • Statistical Data
  • Statistics
  • Test And Evaluation
  • Test Methods
  • Warfare

Readers

  • Aerospace Test and Evaluation
  • Defense Acquisition Program Management
  • Distributed Systems and Data Platform Development