Detection Theory is an introduction to one of the most important tools for analysis of data where choices must be made and performance is not perfect. Originally developed for evaluation of electronic detection, detection theory was adopted by psychologists as a way to understand sensory decision making, then embraced by students of human memory. This book covers the basic principles of detection theory, with separate chapters on measuring detection and evaluating decision criteria.
Quantile Comparison Functions in Two-Sample Problems, with Application to Comparisons of Diagnostic Markers Li, Gang Tiwari, Ram C. Wells, Martin T..
Journal of the American Statistical Association, Vol. 91, No. 434, June 1996
Fuzzy SignalDetection Theory: Basic Postulates and Formulas for Analyzing Human and Machine Performance Parasuraman, Raja Masalonis, Anthony J. Hancock, Peter A..
Human Factors, Vol. 42, No. 4, Winter 2000