Analysis of Covariance with Linear Regression Error Model on Antenna Control Unit Tracking

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 perhaps modeling to assess test results objectively, i.e., on statistical metrics, probability of confidence, logical inference to supplement technical expertise, rather than rely solely on expertise, which is subjective. In this paper we apply linear regression modeling and analysis of variance (ANOVA) to decide for the null- or alternative-hypotheses of a telemetry antenna control unit s (ACU) ability to track on C-band while receiving S- or C-band data. Together, regression and ANOVA compose a method known as analysis of covariance (ANCOVA). The intent is to present examples of tools and techniques useful for SDT&E methodologies in testing.

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Document Details

Document Type
Technical Report
Publication Date
Oct 20, 2015
Accession Number
ADA620041

Entities

People

  • Daniel T. Laird

Organizations

  • Air Force Test Center

Tags

Communities of Interest

  • Air Platforms
  • Electronic Warfare
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Analysis Of Variance
  • Automatic Gain Control
  • C Band
  • Covariance
  • Data Science
  • Department Of Defense
  • Hypotheses
  • Inertial Navigation
  • Inertial Navigation Systems
  • Information Science
  • New York
  • Probability
  • Statistics
  • Telemetry
  • Test And Evaluation

Readers

  • Radio communications and signal processing.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference