Skip to content

Elementary Signal Detection Theory

Best in textbook rentals since 2012!

ISBN-10: 0195092503

ISBN-13: 9780195092509

Edition: 2002

Authors: Thomas D. Wickens

List price: $92.00
Blue ribbon 30 day, 100% satisfaction guarantee!
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!

Signal detection theory, as developed in electrical engineering and based on statistical decision theory, was first applied to human sensory discrimination about 40 years ago. The theory's intent was to explain how humans discriminate and how we might use reliable measures to quantify this ability. 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…    
Customers also bought

Book details

List price: $92.00
Copyright year: 2002
Publisher: Oxford University Press, Incorporated
Publication date: 10/11/2001
Binding: Hardcover
Pages: 288
Size: 8.90" wide x 6.18" long x 0.98" tall
Weight: 1.012
Language: English

The signal-detection model
Some examples
Hits and false alarms
The statistical decision representation
Reference notes
Exercises
The equal-variance Gaussian model
The Gaussian detection model
The equal-variance model
Estimating d' and [lambda]
Measuring bias
Ideal observers and optimal performance
Reference notes
Exercises
Operating characteristics and the Gaussian model
The operating characteristic
Isocriterion and isobias contours
The equal-variance Gaussian operating characteristic
The unequal-variance Gaussian model
Fitting an empirical operating characteristic
Computer programs
Reference notes
Exercises
Measures of detection performance
The distance between distributions
Distances to the isosensitivity line
The area under the operating characteristic
Recommendations
Measures of bias
Aggregation of detection statistics
Reference notes
Exercises
Confidence ratings
The rating experiment
The detection model for rating experiments
Fitting the rating model
Exercises
Forced-choice procedures
The forced-choice experiment
The two-alternative forced-choice model
Position bias
Forced-choice and yes/no detection tasks
The K-alternative forced-choice procedure
Exercises
Discrimination and identification
The two-alternative discrimination task
The relationship between detection and discrimination
Identification of several stimuli
Reference notes
Exercises
Finite-state models
The high-threshold model
The high-threshold operating characteristic
Other finite-state representations
Rating-scale data
Reference notes
Exercises
Likelihoods and likelihood ratios
Likelihood-ratio tests
The Bayesian observer
Likelihoods and signal-detection theory
Non-Gaussian distributions
Reference notes
Exercises
Multidimensional stimuli
Bivariate signal detection
Likelihood ratios
Compound signals
Signals with correlated components
Uncertainty effects
Reference notes
Exercises
Statistical treatment
Variability in signal-detection studies
Fundamental sampling distributions
Simple detection statistics
Confidence intervals and hypothesis tests
Goodness-of-fit tests
Comparison of hierarchical models
Interobserver variability
Reference notes
Exercises
Summary of probability theory
Basic definitions
Random variables
Some specific distributions
References
Index