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hautus m detection theory user s guide 3ed 2022

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Textbook in PDF format Detection Theory: A User’s Guide is an introduction to one of the most important tools for the analysis of data where choices must be made and performance is not perfect. In these cases, detection theory can transform judgments about subjective experiences, such as perceptions and memories, into quantitative data ready for analysis and modeling. For beginners, the first three chapters introduce measuring detection and discrimination, evaluating decision criteria, and the utility of receiver operating characteristics. Later chapters cover more advanced research paradigms, including: complete tools for application, including flowcharts, tables, and software; student-friendly language; complete coverage of content area, including both one-dimensional and multidimensional models; integrated treatment of threshold and nonparametric approaches; an organized, tutorial level introduction to multidimensional detection theory; and popular discrimination paradigms presented as applications of multidimensional detection theory. This modern summary of signal detection theory is both a self-contained reference work for users and a readable text for graduate students and researchers learning the material either in courses or on their own. Basic Detection Theory and One-Interval Designs The Yes-No Experiment: Sensitivity The Yes-No Experiment: Response Bias Beyond Binary Responses: The Rating Experiment and Empirical Receiver Operating Characteristics Classification Experiments for One-Dimensional Stimulus Sets Threshold Models and Choice Theory Multidimensional Detection Theory and Multi-Interval Discrimination Designs Detection and Discrimination of Compound Stimuli: Tools for Multidimensional Detection Theory Comparison (Two-Distribution) Designs for Discrimination Classification Designs: Attention and Interaction Classification Designs for Discrimination Identification of Multidimensional Objects and Multiple Observation Intervals Stimulus Factors Adaptive Methods for Estimating Empirical Thresholds Components of Sensitivity Statistics Statistics and Detection Theory Appendixes Elements of Probability and Statistics Logarithms and Exponentials Flowcharts to Sensitivity and Bias Calculations Some Useful Equations Tables

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Hautus M. Detection Theory. A User's Guide 3ed 2022.pdf 46.8 MB

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hautus m detection theory user s guide 3ed 2022