Detection Theory - Info and Reading Options

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Cover -- Endorsement Page -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Introduction -- Part I Basic Detection Theory and One-Interval Designs -- Chapter 1 The Yes-No Experiment: Sensitivity -- Understanding Yes-No Data -- Implied Receiver Operating Characteristics -- The Signal-Detection Model -- Calculational Methods -- Essay: The Provenance of Detection Theory -- Summary -- Computational Appendix -- Calculation of the Function for the ROC Curve on Probability Coordinates -- Supplementary Material -- Problems -- References -- Chapter 2 The Yes-No Experiment: Response Bias -- Two Examples -- Measuring Response Bias -- Alternative Measures of Bias -- Isobias Curves -- Experimental Manipulation of Bias -- Comparing the Bias Measures -- How Does the Participant Choose a Decision Rule? -- Calculating Hit and False-Alarm Rates from Parameters -- Variability of Decision Criteria -- Essay: On Human Decision-Making -- Summary -- Computational Appendix -- Supplementary Material -- Problems -- References -- Chapter 3 Beyond Binary Responses: The Rating Experiment and Empirical Receiver Operating Characteristics -- Design of Rating Experiments -- Receiver Operating Characteristic Analysis -- Relationship between Binary and Rating Responses -- ROC Analysis with Slopes Other Than 1 -- Estimating Bias -- Systematic Parameter Estimation and Methods of Calculation -- Alternative Ways to Generate ROCs -- Another Kind of ROC: Type 2 -- Essay: Are ROCs Necessary? -- Summary -- Computational Appendix -- Supplementary Material -- Problems -- References -- Chapter 4 Classification Experiments for One-Dimensional Stimulus Sets -- Design of Classification Experiments -- Perceptual One-Dimensionality -- Two-Response Classification -- Experiments with More Than Two Responses -- Nonparametric Measures

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