LEADER 05293nam 22007934a 450 001 9910828254203321 005 20200520144314.0 010 $a9786612365553 010 $a9781282365551 010 $a128236555X 010 $a9780470277539 010 $a047027753X 010 $a9781615832057 010 $a161583205X 010 $a9780470276310 010 $a0470276312 035 $a(CKB)1000000000687167 035 $a(EBL)468622 035 $a(OCoLC)609847375 035 $a(SSID)ssj0000303787 035 $a(PQKBManifestationID)11228564 035 $a(PQKBTitleCode)TC0000303787 035 $a(PQKBWorkID)10276382 035 $a(PQKB)10146270 035 $a(MiAaPQ)EBC468622 035 $a(Au-PeEL)EBL468622 035 $a(CaPaEBR)ebr10296506 035 $a(CaONFJC)MIL236555 035 $a(OCoLC)72149937 035 $a(FINmELB)ELB177834 035 $a(Perlego)2772170 035 $a(EXLCZ)991000000000687167 100 $a20061030d2007 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMultivariate and probabilistic analyses of sensory science problems /$fJean-Francois Meullenet, Rui Xiong, and Christopher J. Findlay 205 $a1st ed. 210 $a[Chicago, Ill.] $cIFT Press ;$aAmes, Iowa $cBlackwell Pub.$d2007 215 $a1 online resource (258 p.) 225 1 $aIFT Press 300 $aDescription based upon print version of record. 311 08$a9780813801780 311 08$a0813801788 320 $aIncludes bibliographical references and index. 327 $aMultivariate and Probabilistic Analyses of Sensory Science Problems; Table of Contents; Introduction; Chapter 1. A Description of Sample Data Sets Used in Further Chapters; 1.1. A Description of Example Data Sets; References; Chapter 2. Panelist and Panel Performance: A Multivariate Experience; 2.1. The Multivariate Nature of Sensory Evaluation; 2.2. Univariate Approaches to Panelist Assessment; 2.3. Multivariate Techniques for Panelist Performance; 2.4. Panel Evaluation through Multivariate Techniques; 2.5. Conclusions; References; Chapter 3. A Nontechnical Description of Preference Mapping 327 $a3.1. Introduction 3.2. Internal Preference Mapping; 3.3. External Preference Mapping; 3.4. Conclusions; References; Chapter 4. Deterministic Extensions to Preference Mapping Techniques; 4.1. Introduction; 4.2. Application and Models Available; 4.3. Conclusions; References; Chapter 5. Multidimensional Scaling and Unfolding and the Application of Probabilistic Unfolding to Model Preference Data; 5.1. Introduction; 5.2. Multidimensional Scaling (MDS) and Unfolding; 5.3. Probabilistic Approach to Unfolding and Identifying the Drivers of Liking; 5.4. Examples; References 327 $aChapter 6. Consumer Segmentation Techniques 6.1. Introduction; 6.2. Methods Available; 6.3. Segmentation Methods Using Hierarchical Cluster Analysis; References; Chapter 7. Ordinal Logistic Regression Models in Consumer Research; 7.1. Introduction; 7.2. Limitations of Ordinary Least Squares Regression; 7.3. Odds, Odds Ratio, and Logit; 7.4. Binary Logistic Regression; 7.5. Ordinal Logistic Regression Models; 7.6. Porportional Odds Model (POM); 7.7. Conclusions; References; Chapter 8. Risk Assessment in Sensory and Consumer Science; 8.1. Introduction 327 $a8.2. Concepts of Quantitative Risk Assessment 8.3. A Case Study: Cheese Sticks Appetizers; 8.4. Conclusions; References; Chapter 9. Application of MARS to Preference Mapping; 9.1. Introduction; 9.2. MARS Basics; 9.3. Setting Control Parameters and Refining Models; 9.4. Example of Application of MARS; 9.5. A Comparison with PLS Regression; References; Chapter 10. Analysis of Just About Right Data; 10.1. Introduction; 10.2. Basics of Penalty Analysis; 10.3. Boot strapping Penalty Analysis; 10.4. Use of MARS to Model JAR Data; 10.5. A Proportional Odds/Hazards Approach to Diagnostic Data Analysis 327 $a10.6. Use of Dummy Variables to Model JAR DataReferences; Index 330 $aSensory scientists are often faced with making business decisions based on the results of complex sensory tests involving a multitude of variables. Multivariate and Probabilistic Analyses of Sensory Science Problems explains the multivariate and probabilistic methods available to sensory scientists involved in product development or maintenance. The techniques discussed address sensory problems such as panel performance, product profiling, and exploration of consumer data, including segmentation and identifying drivers of liking. Applied in approach and written for 410 0$aIFT Press series. 606 $aFood$xSensory evaluation$xStatistical methods 606 $aMultivariate analysis 615 0$aFood$xSensory evaluation$xStatistical methods. 615 0$aMultivariate analysis. 676 $a664/.07 700 $aMeullenet$b J.-F$g(Jean-Francois),$f1968-$0855731 701 $aXiong$b Rui$0855732 701 $aFindlay$b Christopher J$0855733 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910828254203321 996 $aMultivariate and probabilistic analyses of sensory science problems$91910562 997 $aUNINA