Logistic Regression Model on Antenna Control Unit Autotracking Mode

Abstract

Over the past several years DoD has imposed constraints on test deliverables, requiring objective measures of test objective results, i.e., statistically defensible test and evaluation (SDT&E) methods and results. These constraints force tester to employ statistical hypotheses, analyses and modeling to assess test results objectively, i.e., on statistical metrics, analytical methods, probability of confidence complemented by, rather than relying solely on expertise, which is too subjective an approach. In this paper we discuss methods of objectifying testing via statistical modeling and decide for a null- or alternative-hypothesis. This paper will present an Antenna Auto-tracking model using Logistic Regression modeling. This paper presents an example of tools useful for employing a SDT&E methodology.

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Document Details

Document Type
Technical Report
Publication Date
Oct 20, 2015
Accession Number
ADA620043

Entities

People

  • Daniel T. Laird

Organizations

  • Air Force Test Center

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Automatic Gain Control
  • C Band
  • Coefficients
  • Data Processing
  • Data Science
  • Department Of Defense
  • Electronic Warfare
  • Information Science
  • New York
  • Probability
  • Statistical Analysis
  • Statistical Inference
  • Test And Evaluation
  • United Kingdom
  • United States

Fields of Study

  • Engineering

Readers

  • Aerospace Test and Evaluation
  • Computational Modeling and Simulation
  • Regression Analysis.