The Application of Exploratory Data Analysis Methods in Computing Screening Intervals for Selected Study Measures of Effectiveness

Abstract

This report presents a methodology for the construction of screening intervals for selected study measures of effectiveness (MOE): force loss exchange ratio, helicopter, and tank system exchange ratios. Using exploratory data analysis techniques, measures of location and scale are derived from study MOE data. Two methodologies are presented: A test for specious data and a test for comparing two batches of data. The first methodology is based on the biweight estimator of location and the second is based on the median of the batch. The first methodology is to be incorporated into an expert system currently under development at TRADOC Analysis Command-Fort Leavenworth (TRAC- FLVN). The expert systems is designed to fill a quality control need for comparing emerging study results with past-related study MOE data to insure validity of study results. Prediction intervals are proposed for use as a screening tool to determine the acceptability of new MOE data. This will provide statistical validity and quality control to emerging study results. The second methodology is for use when two batches of data are to be compared. Both methodologies will serve as screening tool for the study analyst.

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Document Details

Document Type
Technical Report
Publication Date
May 30, 1990
Accession Number
ADA228363

Entities

People

  • Rudolph J. Pabon

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Classification
  • Computations
  • Data Analysis
  • Data Science
  • Databases
  • Estimators
  • Expert Systems
  • Gaussian Distributions
  • Measures Of Effectiveness
  • Plastic Explosives
  • Quality Control
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Inference
  • Statistical Samples

Readers

  • Instructional Design and Training Evaluation.
  • Military Training and Readiness Simulation
  • Regression Analysis.