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LEADER: 04687cam a2200745Ia 4500
001 15066006
005 20210607124016.0
006 m o d
007 cr cnu|||unuuu
008 041018s2005 njua ob 001 0 eng d
010 $a 2004043261
035 $a(OCoLC)ocm56761583
035 $a(NNC)15066006
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020 $a1410611140$q(electronic bk.)
020 $a9781410611147$q(electronic bk.)
020 $a0805842306$q(alk. paper)
020 $a9780805842302$q(alk. paper)
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020 $a9780805842319$q(pbk. ;$qalk. paper)
020 $a9781135634575$q(e-book ;$qPDF)
020 $a1135634572
020 $a9781135634520$q(e-book ;$qMobi)
020 $a1135634521
020 $a9781135634568$q(e-book ;$qePub)
020 $a1135634564
024 3 $a9781410611147
035 $a(OCoLC)56761583$z(OCoLC)464589355$z(OCoLC)646734196$z(OCoLC)755635848$z(OCoLC)992025980$z(OCoLC)999773769$z(OCoLC)1007557222$z(OCoLC)1020534775$z(OCoLC)1037698360$z(OCoLC)1038634741$z(OCoLC)1038687423$z(OCoLC)1055370568$z(OCoLC)1061541464$z(OCoLC)1063783446$z(OCoLC)1066609322$z(OCoLC)1081287588$z(OCoLC)1086418270$z(OCoLC)1114347684$z(OCoLC)1148137708$z(OCoLC)1153027679
037 $b00009052
050 4 $aBF237$b.M25 2005eb
060 4 $a2004 L-304
060 4 $aBF 237$bM478d 2005
072 7 $aPSY$x024000$2bisacsh
082 04 $a152.8$222
084 $a77.50$2bcl
084 $aCM 2500$2rvk
049 $aZCUA
100 1 $aMacmillan, Neil A.
245 10 $aDetection theory :$ba user's guide /$cNeil A. MacMillan and C. Douglas Creelman.
250 $a2nd ed.
260 $aMahwah, N.J. :$bLawrence Erlbaum,$c2005.
300 $a1 online resource (xix, 492 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
340 $gpolychrome.$2rdacc$0http://rdaregistry.info/termList/RDAColourContent/1003
347 $adata file$2rda
504 $aIncludes bibliographical references (pages 463-475) and indexes.
588 0 $aPrint version record.
505 00 $g1.$tThe yes-no experiment : sensitivity --$g2.$tThe yes-no experiment : response bias --$g3.$tThe rating experiment and empirical ROCs --$g4.$tAlternative approaches : threshold models and choice theory --$g5.$tClassification experiments for one-dimensional stimulus sets --$g6.$tDetection and discrimination of compound stimuli : tools for multidimensional detection theory --$g7.$tComparison (two-distribution) designs --$g8.$tClassification designs : attention and interaction --$g9.$tClassification designs for discrimination --$g10.$tIdentification of multidimensional objects and multiple observation intervals --$g11.$tAdaptive methods for estimating empirical thresholds --$g12.$tComponents of sensitivity --$g13.$tStatistics and detection theory.
520 1 $a"Detection Theory, Second Edition is an introduction to one of the most important tools for analysis of data where choices must be made and performance is not perfect. Originally developed for evaluation of electronic detection, detection theory was adopted by psychologists as a way to understand sensory decision making, then embraced by students of human memory. It has since been utilized in areas as diverse as animal behavior and X-ray diagnosis."--Jacket.
650 0 $aSignal detection (Psychology)
650 12 $aSignal Detection, Psychological.
650 7 $aPSYCHOLOGY$xPhysiological Psychology.$2bisacsh
650 7 $aSignal detection (Psychology)$2fast$0(OCoLC)fst01118271
650 7 $aSignalverarbeitung$2gnd
650 17 $aSignaal-detectietheorie.$2gtt
655 0 $aElectronic book.
655 4 $aElectronic books.
655 7 $aEinführung.$2swd
700 1 $aCreelman, C. Douglas.
776 08 $iPrint version:$aMacmillan, Neil A.$tDetection theory.$b2nd ed.$dMahwah, N.J. : Lawrence Erlbaum, 2005$z0805842306$z0805842314$w(DLC) 2004043261$w(OCoLC)54685784
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15066006$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS