A SIGNIFICANCE TEST FOR ONE PARAMETER ISOSENSITIVITY FUNCTIONS.

Abstract

A large-sample test for the significance of the difference between two detection data points is developed based upon the assumptions of a one-parameter signal detectability model. In essence, the null hypothesis tested is that two observed data points belong to the same d' function. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 10, 1966
Accession Number
AD0639354

Entities

People

  • Eugene Galanter
  • Vivian Gourevitch

Tags

Readers

  • Image Processing and Computer Vision.
  • Regression Analysis.