Macmillan N., Creelman D. — Detection Theory: A User's Guide :: Электронная библиотека попечительского совета мехмата МГУ

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Macmillan N., Creelman D. — Detection Theory: A User's Guide

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Название: Detection Theory: A User's Guide

Авторы: Macmillan N., Creelman D.

Аннотация:

Originally developed for evaluation of electronic detection, detection theory was adopted by psychologists as a way to understand sensory decision-making and has been used in areas as diverse as animal behavior and X-ray diagnosis. This resource for students, behavioral scientists and other researchers explains the basic principles of detection theory. Both one-dimensional and multidimensional models are discussed. The second edition features a new chapter on ideal observers and updated material on adaptive threshold measurement.

Язык:

Рубрика: Математика/Вероятность/Статистика и приложения/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Издание: 2nd edition

Год издания: 2004

Количество страниц: 492

Добавлена в каталог: 05.06.2005

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID

Предметный указатель

(area under the multipoint ROC)      64 330
(area under the SDT ROC)      63 172 330—331
$B^\prime_H$ (area-based measure of response bias)      103
$d_1^\prime$ (sensitivity measure in SDT)      59—60
$d_2^\prime$ (sensitivity measure in SDT)      59—60
(sensitivity measure in SDT)      61—62 330—331
$d_e^\prime$ (sensitivity measure in SDT)      62—63
$p(c)^\ast$ (proportion correct with unequal presentation probabilities)      7
$p(c)_{max}$ (unbiased proportion correct)      153
$p(c)_{max}$ (unbiased proportion correct) in 2AFC      170—175
$p(c)_{max}$ (unbiased proportion correct) in yes-no      153 171—172 see
$\alpha$ (sensitivity measure in Choice Theory)      95—96
$\alpha$ (sensitivity measure in Choice Theory) and d'      95—96
$\beta$ (normal distribution likelihood ratio)      33—35 67—69
$\beta$ (normal distribution likelihood ratio), calculation of      374—375
$\beta_L$ (logistic distribution likelihood ratio)      98
$\chi^2$ (chi-square) distribution      103
$\chi^2$ test      353—354
$\phi$ (contingency statistic)      103
$\phi$ (normal density)      see "Normal distribution"
$\Phi$ (normal distribution function)      see "Normal distribution"
2AFC (two-alternative forced-choice)      166—179
2AFC (two-alternative forced-choice) vs one-interval      167—168 175—176 181—182
2AFC (two-alternative forced-choice) vs other designs      181—183 234 251 253—255
2AFC (two-alternative forced-choice), advantages      179
2AFC (two-alternative forced-choice), decision space      168—170
2AFC (two-alternative forced-choice), hit and false-alarm rates      167
2AFC (two-alternative forced-choice), response bias      170 287—289
2AFC (two-alternative forced-choice), ROC      173—174
2AFC (two-alternative forced-choice), sensitivity      168 170—175 426—430
2AFC (two-alternative forced-choice), statistical properties of d'      328—329
2AFC (two-alternative forced-choice), unbiased performance      170—171
3AFC (three-alternative forced-choice)      249—252 426—430
3AFC (three-alternative forced-choice) vs other designs      251—255
A priori probabilities      see "Presentation probabilities"
A' (area under the one-point ROC)      100—103
Absolute judgment      113 see one-dimensional" "Classification multi-dimensional" "Identification absolute"
ABX      229—235
ABX vs other designs      234—235 253—255
ABX, decision space      231—234
ABX, differencing model      233—234
ABX, hit and false-alarm rates      230
ABX, independent-observation model      230—233
ABX, response bias      232—233
ABX, ROC      232—233
ABX, sensitivity      232—233 380—400
ABX, threshold model      234—235
Accuracy      see "Sensitivity"
Adaptation level      129—130
Adaptive methods      267—296
Adaptive methods for slope estimation      293—294
Adaptive methods vs nonadaptive methods      269—270 276
Adaptive methods, components of      277
Adaptive methods, decision rules      277—280
Adaptive methods, evaluation of      289—292
Adaptive methods, stepping rules      281—285
Adaptive methods, stopping rules      285—286
Adaptive methods, target proportion      277 280—281 see "Bekesy "Hall’s "Kaernbach’s "Maximum-likelihood "PEST" "QUEST" "UDTR" "Wald
Adaptive Probit Estimation (APE)      294
Animal experiments      229—233 271—272
AOC      206—209
Area theorem      170—171
Area under the ROC      170—175
Area under the ROC for multipoint ROC      see " $A_g$

"
Area under the ROC for one-point ROC see "A'"
Area under the ROC in SDT see " $A_z$

"
Attention, capacity model      207—209
Attention, divided      188 204—205
Attention, incomplete      46—47
Attention, operating characteristic      see "AOC"
Attention, selective      188 203—204 see "Uncertainty"
Audiology      269—270
AX design      see "Same-different"
b (criterion measure in Choice Theory)      97
b' (relative criterion measure in Choice Theory)      98
B'' (area-based measure of response bias)      103—104
Bayesian rule      285
Bekesy audiometry      269—270
Best PEST      284—285
Binomial distribution      320—323 345—348
Boundary theorem      251—252
c (criterion measure in SDT) in multi-interval designs      see "Response bias under specific design"
c (criterion measure in SDT), calculation of      20—21 29 374—375 427—430
c (criterion measure in SDT), confidence intervals      328
c' (relative criterion measure in SDT)      31—33
c' (relative criterion measure in SDT) in multi-interval designs      see "Response bias under specific design"
Categorical perception      133—135 137—138
Categorization      113
Category scaling      113 see one-dimensional"
Ceiling effects      see "Sensitivity near-perfect"
Central limit theorem      352
Chance line in ROC space      10
Chance performance      see "Sensitivity near-chance" "Chance "ROC
Channels (perceptual)      192
Choice axiom      94
Choice theory      94—100
Choice Theory and logistic regression      337—339
Choice Theory, 2AFC      168
Choice Theory, classification, one-dimensional      115
Choice Theory, mAFC      247—249
City-block metric      see "Distance city-block"
Classification for studying attention and interaction      187—211
Classification in discrimination designs      214—243
Classification vs discrimination      132—135
Classification, multidimensional      367
Classification, one-dimensional      2 113—135 367
Classification, presentation probability effects      131
Classification, range effects      131
Classification, response bias      116—119 127—130
Classification, ROC      127—128 131
Classification, sensitivity      116—119 127—130
Classification, two-response      115—126
Comparison designs      165—184 see "2AFC"
Comparison stimulus      113—114
Compound detection      141—142 152—161
Compound detection, maximum and minimum decision rules      156—157
Compound detection, optimal rule      158—159 see
Computer programs      431—434
Computer simulations of adaptive methods      290
Computer simulations of Wald rule      279—281
Conditional-on-Single-Stimulus (COSS) design      306—309
Condorcet group      309
confidence intervals      see "Parameter estimation"
Consciousness and detection theory      47 106 259
Constant ratio rule      247—249 see "Choice
Constant stimuli, method of      120 see one-dimensional"
Context coding      134—135
Correct rejection      4 142—144
Correction for guessing for psychometric function      276 287—289
Correction for guessing in 2AFC      172—173 287—289
Correction for guessing in mAFC      251—252
Correction for guessing in yes-no      82
Correlation      351
Correlation between decision axes in ABX      233—234
Correlation between decision axes in oddity      236—237
Correlation between decision axes in Tanner’s model      191—193
Correlation between sensitivities in roving discrimination      221
Correlation between successive intervals or trials      183
Correspondence (experiment)      xvii
Criterion location      17 29—31
Criterion location in Choice Theory      see "b"
Criterion location in SDT      see "c"
Criterion location in threshold theory      see "False-alarm rate as "Yes
Criterion location, relative      33
Criterion location, relative in Choice Theory      see "b'"
Criterion location, relative in SDT      see "c'"
Criterion location, relative in threshold theory      see "Error ratio"
Criterion location, relative in unequal variance model      67—68
Criterion location, variability of      46—47
d' (sensitivity measure in SDT)      8

d' (sensitivity measure in SDT) and $\alpha$       95—96
d' (sensitivity measure in SDT) and p(c)      9—13
d' (sensitivity measure in SDT) in multi-interval designs      see "Sensitivity under specific designs"
d' (sensitivity measure in SDT), calculation of      8—9 20—21 374—375 431—434
d' (sensitivity measure in SDT), confidence intervals      325—330
d' (sensitivity measure in SDT), cumulative      114
d' (sensitivity measure in SDT), total      114
Data zeroes      see "Sensitivity near-perfect"
Decision boundary      145
Decision goals      42—44
Decision rule      17 42—44
Decision rule, likelihood ratio      42—44
Decision rule, nonoptimal      46—47 see "Independent-observation "Integration
Decision space      16
Decision space for multi-interval designs      see "Decision space under specific design"
Decision space for one-interval designs      16 82—91 98—100 116—119 142—144 see
Decision space, multidimensional      152—153 191—193
Decision theory, statistical      23—24
Decisional separability      154 260—262
Decisional separability in 2AFC      170
Decisional separability in reminder paradigm      180—181
Degrees of freedom      353—354
Density function      348—349
Designs (for discrimination measurement)      xviii 360 364
Designs (for discrimination measurement), comparisons among      234 252—255 263—264
Designs (for discrimination measurement), fixed      177—179 216 230
Designs (for discrimination measurement), multi-interval      see "ABX" "mAFC" "Oddity" "Same-different" "2AFC"
Designs (for discrimination measurement), one-interval      see "Rating experiment" "Yes-no"
Designs (for discrimination measurement), roving      177—179 221 233 see multidimensional" "Classification one-dimensional" "Compound "Identification" "Simultaneous "Simultaneous "Uncertain "Specific
Detection      1
Detection of X-rays      28—39 256—259 see "Simultaneous
Detection, auditory      115—119 176 251 259 270—271 302—303
Detection, bimodal      141—142 152—159 196—202
Detection, visual      300—302
Deviation limit      see "Wald rule in adaptive methods"
df      see "Degrees of freedom"
Dice game      298—300 314
Difference threshold      see "jnd"
Differencing models      181 see
Dimensionality, perceptual      114—115
Discrimination      1
Discrimination vs classification      132—135
Discrimination, color      227
Discrimination, frequency modulation, auditory      182
Discrimination, frequency, auditory      176 182 228 234
Discrimination, intensity, auditory      127—129 176—178 189—191 234
Discrimination, intensity, visual      271—272 300
Discrimination, line length      40 120 228 303
Discrimination, number      234 300
Discrimination, orientation      227
Discrimination, phase of visual gratings      114
Discrimination, phase, auditory      176 228 234
Discrimination, pictures      214—220
Discrimination, pluck bow      234
Discrimination, shape      229—233
Discrimination, size      234
Discrimination, speech      106 228
Discrimination, taste      228 235—236 255
Discrimination, tone sequences      308
Distance, city-block      15 193
Distance, Euclidean      15
Distance, measures      15 173
Distribution discrimination      234 298—300 304—308
Distribution function      348—349
Distributions      see "Binomial distribution" " "Logistic "Normal "Poisson "Rectangular
Efficiency of d' estimates      325—327
Efficiency of pooled sensitivity estimates      335—337
Efficiency of real vs ideal observers      303
Efficiency of statistics      352
Efficiency of threshold estimates      290—291
Equivalence of measures      7
Error ratio      93
Euclidean distance      see "Distance Euclidean"
Exponentials      357—358
external noise      see "Variance external"
False alarm      xviii 4 142—144
False fame      123—124
False memory      120—123
False-alarm rate      5
False-alarm rate in multi-interval designs      see "Hit and false-alarm rates under specific design"
False-alarm rate in rating experiment      53—54
False-alarm rate in yes-no      5
False-alarm rate, as response-bias measure      85—86
False-alarm rate, calculated from parameters      44—46
Feature-complete factorial design      246 260
Feedback      129—130
Filtering      see "Attention selective"
Fixed discrimination      see "Designs fixed"
Floor effects      see "Sensitivity near-chance"
Forced choice      166 see "3AFC" "mAFC"
Gamer paradigm      194—195 205—206
Gaussian distribution      see "Normal distribution"
General Recognition Theory      259—262 304—308 see "Multidimensional "Perceptual "Perceptual
Generalized linear models      337—339
Group decisions      308—310
Hall’s adaptive method      294
Hierarchical models      310—311
Hit      4 142—144
Hit rate      5
Hit rate in multi-interval designs      see "Hit and false-alarm rates under specific design"
Hit rate in rating experiment      53—54
Hit rate in yes-no      5
Hit rate, as sensitivity measure      6
Hit rate, calculated from parameters      44—46
Hypnosis      27—28
Hypothesis testing      319 353—354
Hypothesis testing and decision rules      44
Hypothesis testing and discrete thinking      106
Hypothesis testing with logistic regression models      337—339
Hypothesis testing, independence      353—354
Hypothesis testing, proportions      320—322
Hypothesis testing, response bias      328
Hypothesis testing, ROC points      322—323
Hypothesis testing, sensitivity      325—330
Ideal observers      267 290 299—303
Identifiability      104
Identification      2
Identification operating characteristics      see "IOC"
Identification vs detection      191—193
Identification vs uncertain detection      255—259
Identification, absolute      113 245
Identification, curvature      260—262
Identification, intensity, auditory      127—130
Identification, multidimensional      245—266
Identification, multidimensional of objects      246—249
Identification, multidimensional, sensitivity      246—249
Identification, one-dimensional      126—135
Identification, one-dimensional, sensitivity      127—132
Identification, orientation      260—262
Identification, speech      106 124—126
Identification, X-rays      256 see "Simultaneous
Implied ROC      see "ROC"
Importance ratio      43
Independence of events      344—345
Independence of perceptual channels or dimensions      191—193 see "Independent-observation "Perceptual "Perceptual
Independent-observation models      198—202 see
Information theory      132
instructions      71—72
Integrality      194—195
Integration models      200—202
Internal noise      see "Variance internal"
Interstimulus interval      see "ISI"
IOC (identification operating characteristic)      256—258
ISI (interstimulus interval)      176—177
Isobias curve      35—41 93—94 98
Isobias curve for Choice Theory measures      98
Isobias curve for SDT measures      35—41
Isobias curve for threshold measures      93—94
Isobias curve in multi-interval designs      see "Isobias curve under specific design"
Isobias curve in same-different      219—220 226—227

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