LEADER 05284nam 2200589 450 001 9910131451003321 005 20230807221640.0 010 $a1-5231-1052-X 010 $a1-118-99478-7 010 $a1-118-99486-8 010 $a1-118-99485-X 035 $a(CKB)3710000000466343 035 $a(EBL)2038575 035 $a(MiAaPQ)EBC2038575 035 $a(Au-PeEL)EBL2038575 035 $a(CaPaEBR)ebr11092767 035 $a(CaONFJC)MIL824845 035 $a(OCoLC)923714059 035 $a(EXLCZ)993710000000466343 100 $a20150908d2015 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aSensory discrimination tests and measurements $esensometrics in sensory evaluation /$fJian Bi, Sensometrics Research and Service, Richmond, Virginia, USA 205 $aSecond edition. 210 1$aWest Sussex :$cWiley Blackwell,$d2015. 215 $a1 online resource (557 p.) 300 $aDescription based upon print version of record. 311 $a1-118-73353-3 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Copyright; Dedication; Brief Contents; Contents; Preface; Acknowledgements; About the companion website; Chapter 1 Introduction; 1.1 Sensometrics; 1.2 Sensory tests and measurements; 1.3 A brief review of sensory analysis methodologies; 1.4 Method, test, and measurement; 1.5 Commonly used discrimination methods; 1.6 Classification of sensory discrimination methods; Chapter 2 Measurements of sensory difference/similarity: Thurstonian discriminal distance; 2.1 Measurement of sensory difference/similarity; 2.2 Thurstonian discriminal distance, ? or d'; 2.3 Variance of d' 327 $a2.4 Tables and R/S-Plus codes for d' and variance of d'2.5 Computer-intensive approach to Thurstonian models of the ""M+N"" test; 2.6 Estimates of population and group d'; Chapter 3 Measurements of sensory difference/similarity: area under ROC curve in Signal Detection Theory; 3.1 Area measure of sensory difference/similarity; 3.2 ROC curve functions; 3.3 Estimations of the parameters of ROC curves; 3.4 Estimations of variances of estimators; 3.5 R/S-Plus codes for estimations of parameters for the three ratings methods; 3.6 Estimates of population R-index in replicated ratings 327 $aChapter 4 Difference testing4.1 Binomial model for difference testing; 4.2 Difference tests using forced-choice methods; 4.3 Power analysis for tests for one proportion; 4.4 Discrimination tests using methods with response bias; 4.5 Power analysis of tests for two proportions; 4.6 Efficiency comparisons of difference tests; 4.7 Difference tests for d' and R-index; Chapter 5 Similarity (equivalence) testing; 5.1 Introduction; 5.2 Similarity tests using the Two-Alternative Forced Choice (2-AFC) method; 5.3 Similarity testing using forced-choice methods 327 $a5.4 Similarity tests using methods with response bias5.5 Similarity tests using ratings of the A-Not A, Same-Different, and A-Not AR; 5.6 Similarity tests for continuous data; 5.7 Similarity tests for correlated data; 5.8 Confidence interval for similarity evaluation; 5.9 Controversy over similarity (equivalence) tests in statistical and sensory literature; Chapter 6 Bayesian approach to discrimination tests; 6.1 Introduction; 6.2 One-proportion two-sided tests; 6.3 One-proportion one-sided tests; 6.4 Two-proportion tests; 6.5 Thurstonian d' for Bayesian estimate of proportion 327 $aChapter 7 Modified discrimination tests7.1 Modified Triangular test; 7.2 Degree of Difference test; 7.3 Double discrimination tests; 7.4 Preference tests with a ""no preference"" option; 7.5 Discrimination tests with pseudo-correct responses (forgiveness); Chapter 8 Multiple-sample discrimination tests; 8.1 Multiple-sample comparison based on proportions; 8.2 Multiple-sample comparison based on ranks; 8.3 Multiple-sample comparison based on categories; 8.4 Multiple-sample comparison based on ratings; 8.5 Multiple-sample comparison based on paired comparisons 327 $aChapter 9 Replicated discrimination tests: beta-binomial model 330 $a Sensory testing and measurement are the main functions of sensory analysis. In recent years, the sensory and consumer field has evolved to include both difference testing and similarity testing, and new sensory discrimination methods such as the tetrads have received more attention in the literature. This second edition of Sensory Discrimination Tests and Measurements is updated throughout and responds to these changes and includes: A wide range of sensory measurements: Measurements of sensory effect (d', R-index and Gini-index); Measurements of performance of trained sensory panel (Intrac 606 $aAgriculture$xStatistical methods 606 $aSensory discrimination$xStatistical methods 615 0$aAgriculture$xStatistical methods. 615 0$aSensory discrimination$xStatistical methods. 676 $a630.727 700 $aBi$b Jian$0914273 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910131451003321 996 $aSensory discrimination tests and measurements$92048403 997 $aUNINA