A Hierarchical Gamma/Weibull Regression Model for Target Detection Times

Abstract

Combat models often involve target detection times which may vary with different observers due to characteristics of personnel, or detection systems. They may also be affected by different environmental factors such as visual levels, sea states, terrains, etc. There is often interest in quantifying the effects of different observer characteristics and environmental factors on detection times. A hierarchical gamma/Weibull regression model is considered which can incorporate observer characteristics and environmental effects which may influence the time to detect targets. Numerical procedures for the estimation of parameters of the hierarchical gamma/Weibull model based on maximum likelihood are described. Results of simulation experiments to study small sample behavior of the estimates are reported.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1990
Accession Number
ADA239462

Entities

People

  • Chia-fu Wang

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Availability
  • Detection
  • Distribution Functions
  • Estimators
  • Mainframe Computers
  • Maximum Likelihood Estimation
  • New York
  • Numerical Analysis
  • Observers
  • Operations Research
  • Random Variables
  • Simulations
  • Statistics
  • Target Detection
  • Two Dimensional

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