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[null,"1.","Record Nr.",null,"UNINA9910810481603321"]
[null,null,"Autore",null,"Bi Jian"]
[null,null,"Titolo",null,"Sensory discrimination tests and measurements : sensometrics in sensory evaluation / / Jian Bi, Sensometrics Research and Service, Richmond, Virginia, USA"]
[null,null,"Pubbl/distr/stampa",null,"West Sussex : , : Wiley Blackwell, , 2015"]
[null,null,"ISBN",null,"1-5231-1052-X"]
[{"$nulls":4},"1-118-99478-7"]
[{"$nulls":4},"1-118-99486-8"]
[{"$nulls":4},"1-118-99485-X"]
[null,null,"Edizione",null,"[Second edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (557 p.)"]
[null,null,"Disciplina",null,"630.727"]
[null,null,"Soggetti",null,"Agriculture - Statistical methods"]
[{"$nulls":4},"Sensory discrimination - Statistical methods"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Cover; 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, δ or d'; 2.3 Variance of d'"]
[{"$nulls":4},"2.4 Tables and R/S-Plus codes for d' and variance of d'2.5 Computer-intensive approach to Thurstonian models of the \"\"M+N\"\" test; 2.6 Estimates of population and group d'; Chapter 3 Measurements of sensory difference/similarity: area under ROC curve in Signal Detection Theory; 3.1 Area measure of sensory difference/similarity; 3.2 ROC curve functions; 3.3 Estimations of the parameters of ROC curves; 3.4 Estimations of variances of estimators; 3.5 R/S-Plus codes for estimations of parameters for the three ratings methods; 3.6 Estimates of population R-index in replicated ratings"]
[{"$nulls":4},"Chapter 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 "]
[{"$nulls":4},"with response bias; 4.5 Power analysis of tests for two proportions; 4.6 Efficiency comparisons of difference tests; 4.7 Difference tests for d' and R-index; Chapter 5 Similarity (equivalence) testing; 5.1 Introduction; 5.2 Similarity tests using the Two-Alternative Forced Choice (2-AFC) method; 5.3 Similarity testing using forced-choice methods"]
[{"$nulls":4},"5.4 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"]
[{"$nulls":4},"Chapter 7 Modified discrimination tests7.1 Modified Triangular test; 7.2 Degree of Difference test; 7.3 Double discrimination tests; 7.4 Preference tests with a \"\"no preference\"\" option; 7.5 Discrimination tests with pseudo-correct responses (forgiveness); Chapter 8 Multiple-sample discrimination tests; 8.1 Multiple-sample comparison based on proportions; 8.2 Multiple-sample comparison based on ranks; 8.3 Multiple-sample comparison based on categories; 8.4 Multiple-sample comparison based on ratings; 8.5 Multiple-sample comparison based on paired comparisons"]
[{"$nulls":4},"Chapter 9 Replicated discrimination tests: beta-binomial model"]
[null,null,null,"Sommario/riassunto","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"]