Quantal Response: Practical Sensitivity Testing

Abstract

Sensitivity testing, or analysis of a binary quantal response to a continuous stimulus, has historically been modeled from first principles by assuming a single simple parameterization and imposing the form of a specific cumulative distribution function on the response. Application of the Generalized Linear Model approach admits arbitrary response functions and model complexity in a unified framework and subsumes the historical approach as a specific case. Estimation, hypothesis testing, and confidence interval computations are provided. Application to V50 ballistic limit armor acceptance testing is presented.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2012
Accession Number
ADA568728

Entities

People

  • Joseph C. Collins

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Bernoulli Distribution
  • Computations
  • Data Science
  • Distribution Functions
  • Estimators
  • Information Science
  • Intervals
  • Maximum Likelihood Estimation
  • Military Research
  • Normal Distribution
  • Operating Systems
  • Personal Protective Equipment
  • Probability
  • Protective Equipment
  • Sensitivity
  • Statistical Algorithms
  • Statistical Inference

Readers

  • Instructional Design and Training Evaluation.
  • Mathematical Modeling and Probability Theory.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.