LEADER 05495nam 2200805Ia 450 001 9910792249203321 005 20230922173003.0 010 $a0-19-802065-1 010 $a1-4237-3742-3 010 $a9786610605682 010 $a1-60129-826-9 010 $a1-280-43985-8 010 $a9786610439850 010 $a0-19-507001-1 010 $a1-280-60568-5 035 $a(CKB)2560000000299308 035 $a(EBL)3051923 035 $a(OCoLC)922952629 035 $a(SSID)ssj0000308256 035 $a(PQKBManifestationID)12071605 035 $a(PQKBTitleCode)TC0000308256 035 $a(PQKBWorkID)10251759 035 $a(PQKB)10109678 035 $a(StDuBDS)EDZ0000073491 035 $a(MiAaPQ)EBC3051923 035 $a(MiAaPQ)EBC5121573 035 $a(Au-PeEL)EBL3051923 035 $a(CaPaEBR)ebr10087174 035 $a(CaONFJC)MIL43985 035 $a(MiAaPQ)EBC241681 035 $a(Au-PeEL)EBL241681 035 $a(OCoLC)181842007 035 $a(Au-PeEL)EBL5121573 035 $a(CaONFJC)MIL60568 035 $a(OCoLC)1027157969 035 $a(EXLCZ)992560000000299308 100 $a19920430d1986 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aResponse time $etheir role in inferring elementary mental organization /$fR. Duncan Luce 205 $aNew Edition 210 $aNew York $cOxford University Press ;$aOxford $cClarendon Press$d1986 215 $a1 online resource (579 pages) 225 1 $aOxford psychology series ;$vno. 8 311 0 $a0-19-503642-5 311 0 $a0-19-986987-1 320 $aIncludes bibliography: p. 521-545 and indexes. 327 $aContents; 1. Representing Response Times as Random Variables; 1.1. The Study of Response Times; 1.1.1 Why?; 1.1.2 How?; 1.1.3 Organization; 1.2 Random Variables; 1.2.1 Distribution and Density Functions; *1.2.2 A Somewhat More General Treatment of Random Variables; 1.2.3 Hazard Functions; 1.2.4 On Contemplating Distributions; 1.3 Several Random Variables; 1.3.1 Joint and Conditional Distributions; 1.3.2 Bayes' Theorem; 1.3.3 Independence; 1.3.4 Expectation and Variance; 1.3.5 Random Samples; *1.3.6 Random Samples of Random Size; 1.4 Generating Functions; 1.4.1 Convolution 327 $a1.4.2 The Moment Generating Function; 1.4.3 Three Examples: Exponential, Gaussian, and Ex-Gaussian; 1.4.4 The Characteristic Function; 1.4.5 Cumulants; 1.4.6 Discrete Generating Functions; 1.4.7 Three Examples: Binomial, Poisson, and Geometric; 1.5 Elementary Concepts of Stochastic Processes; 1.5.1 Basic Definitions; 1.5.2 Some Important Constraints; Part I. DETECTION PARADIGMS; 2. Simple Reaction Times: Basic Data; 2.1 The Problem; 2.2 The Simple Reaction-Time Paradigm; 2.3 Effect of Signal Properties on Reaction Time; 2.4 Effect of Foreperiod on Reaction Time; 2.5 Speed-Accuracy Tradeoff 327 $a2.6 The Response and Reaction Time; 2.7 What Faces a Model Builder?; 3. Decomposition into Decision and Residual Latencies; 3.1 Independent, Additive Stage Latencies; 3.2 Specific Assumptions; 3.3 Manipulation of Stages; 3.4 Conclusions; 4. Distributions of Simple Decision Latencies; 4.1 Empirical Distributions; 4.2 Discrete-Time, Information-Accumulation Detectors; 4.3 Continuous-Time, Information-Accumulation Detectors; 4.4 Race Between Level and Change Detectors; 4.5 Conclusions; 5. Detection of Signals Presented at Irregular Times; 5.1 Introduction; 5.2 Vigilance at Low Signal Rates 327 $a5.3 Vigilance at High Signal Rates; 5.4 Interaction of Two Signals in Close Succession; 5.5 Conclusions; Part II. IDENTIFICATION PARADIGMS; 6. Two-Choice Reaction Times: Basic Ideas and Data; 6.1 General Considerations; 6.2 Relations to Simple Reaction Times; 6.3 A Conceptual Scheme for Tradeoffs; 6.4 Discriminability and Accuracy; 6.5 Speed-Accuracy Tradeoff; 6.6 Sequential Effects; 6.7 Conclusions; 7. Mixture Models; 7.1 Two-State Mixtures; 7.2 A Linear Operator Model for Sequential Effects; 7.3 Data With Few Response Errors; 7.4 The Fast Guess Account of Errors 327 $a7.5 A Three-State, Fast-Guess, Memory Model; 7.6 Data With Response Errors: Highly Discriminable Stimuli; 7.7 Data With Response Errors: Confusable Signals; 7.8 Conclusions; 8. Stochastic Accumulation of Information in Discrete Time; 8.1 Accumulator Models; 8.2 Random Walks With Boundaries; 8.3 Restrictions on the Random Walk Model; 8.4 Modifications of the Random Walk; 8.5 Data; 8.6 Conclusions; 9. Stochastic Accumulation of Information in Continuous Time; 9.1 Introduction; 9.2 Additive Processes; 9.3 Renewal Processes; 9.4 Conclusions; 10. Absolute Identification of More Than Two Signals; 10.1 Types of Designs with More than Two Signals 330 8 $aThis authoritative volume provides a well balanced and comprehensive treatment of the mathematical theory of human response time and the role it plays in our understanding of the mind's organization. 410 0$aOxford psychology series ;$v8. 606 $aReaction time$xMathematical models 606 $aPsychology, Experimental 615 0$aReaction time$xMathematical models. 615 0$aPsychology, Experimental. 676 $a153.4 700 $aLuce$b R. Duncan$g(Robert Duncan)$0103855 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910792249203321 996 $aResponse time$93783684 997 $aUNINA