Techniques for the Statistical Analysis of Observer Data

Abstract

For vehicle designers, the main goal of experiments on the observability of combat vehicles is a comparison of the probability of detection for two vehicles as a function of range. This paper addresses the statistical techniques to analyze such data to compare the probability of detection of the two vehicles as a function of range. Two techniques are compared: 1. Fitting logistic curves to the data of the vehicles, and 2. Using the Fisher Exact Test to compare the probability of detection of the two vehicles at each range. The paper discusses the issues of background variability and confidence levels for hypothesis testing. Finally, a recommendation is made on how to write a specification for the detectability of a vehicle.

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Document Details

Document Type
Technical Report
Publication Date
Mar 28, 2001
Accession Number
ADA467464

Entities

People

  • John G. Bennett

Organizations

  • Tank-automotive and Armaments Command

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Combat Vehicles
  • Detection
  • Ground Vehicles
  • Information Operations
  • Instructions
  • Mathematics
  • Observers
  • Probability
  • Specifications
  • Standards
  • Statistical Analysis
  • Vehicles

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Military Science