The goal of this book is to introduce the reader to the most important aspects of signal-detection theory. This book is a primer on signal detection theory, useful for both undergraduates and graduate students. An interesting finding of this work is that decisions are involved even in the simplest of discrimination tasks--say, determining whether or not a sound has been heard (a yes-no decision).

Detection theory has been applied to a host of varied problems (for example, measuring the accuracy of diagnostic systems, survey research, reliability of lie detection tests) and extends far beyond the detection of signals.

Contents
Preface
1 The signal-detection model
2 The equal-variance Gaussian model
3 Operating characteristics and the Gaussian model
4 Measures of detection performance
5 Confidence ratings
6 Forced-choice procedures
7 Discrimination and identification
8 Finite-state models
9 Likelihoods and likelihood ratios
10 Multidimensional stimuli
11 Statistical treatment
Appendix: A summary of probability theory
References
Index

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