05429nam 2200661Ia 450 991014438420332120170815112522.01-281-45026-X97866114502670-470-38505-70-470-38483-2(CKB)1000000000687201(EBL)353505(OCoLC)476175064(SSID)ssj0000354521(PQKBManifestationID)11275367(PQKBTitleCode)TC0000354521(PQKBWorkID)10302799(PQKB)11656050(MiAaPQ)EBC353505(EXLCZ)99100000000068720119971202d1997 uy 0engur|n|---|||||txtccrMultivariate data analysis in sensory and consumer science[electronic resource] /by Garmt B. DijksterhuisTrumbull, Conn. Food & Nutrition Pressc19971 online resource (320 p.)Publications in food science and nutritionDescription based upon print version of record.0-917678-41-9 Includes bibliographical references and index.MULTIVARIATE DATA ANALYSIS IN SENSORY AND CONSUMER SCIENCE; Prologue and Acknowledgements; CONTENTS; Introduction to Part IV; 1 Introduction; 1.2 Sensory Science; 1.1 Research Question; 1.3 Sensory Research and Sensory Profiling Data; 1.4 Sensory Profiling; 1.5 Individual Differences; 1.6 Measurement Levels; 1.7 Sensory-Instrumental Relations; 1.8 Time-Intensity Data Analysis; 1.9 Data Analysis. Confirmation and Exploration; 1.10 Structure of the Book; PART I: INDIVIDUAL DIFFERENCES; Introduction to Part I; 2 Assessing Panel Consonance; 2.1 Introduction; 2.2 Data Structure; 2.3 Method2.4 Examples2.5 Conclusion; 3 Interpreting Generalized Procrustes Analysis "Analysis of Variance" Tables; 3.1 Introduction; 3.2 Two Different Procrustes Methods; 3.3 Sums-of-squares in Generalized Procrustes Analysis; 3.4 Scaling the Total Variance; 3.5 Generalized Procrustes Analysis of a Conventional Profiling Experiment; 3.6 Generalized Procrustes Analysis of a Free Choice Profiling Experiment; 3.7 Conclusion; Concluding Remarks Part I; Introduction to Part II; 4 Multivariate Analysis of Coffee Images; 4.1 Introduction; 4.2 Data; 4.3 Methodology; 4.4 Analyses; 4.5 Conclusion5 Nonlinear Canonical Correlation Analysis of Multiway Data5.1 Introduction; 5.2 K-Sets Homogeneity Analysis; 5.3 K-Sets Canonical Correlation Analysis; 5.4 An Application of Overals to Multiway Data; 5.5 Conclusion; 6 Nonlinear Generalised Canonical Analysis: Introduction and Applicationfrom Sensory Research; 6.1 Introduction; 6.2 Generalised Canonical Analysis; 6.3 Nonlinear Generalised Canonical Analysis; 6.4 Application from Sensory Research; 6.5 Results; 6.6 Conclusion; Concluding Remarks Part II; PART III: SENSORY-INSTRUMENTAL RELATIONS; Introduction to Part I117 An Application of Nonlinear Redundancy Analysis7.1 Introduction; 7.2 Redundancy Analysis; 7.3 Optimal Scaling; 7.4 Apple Data; 7.5 Results For Cox Apples; 7.6 Results For Elstar; 7.7 Conclusion; 8 An Application of Nonlinear Redundancy Analysis and Canonical Correlation Analysis; 8.1 Introduction; 8.2 Techniques; 8.3 Description of the Data; 8.4 REDUNDALS Results; 8.5 CANALS Results; 8.6 Conclusions; 9 Procrustes Analysis in Studying Sensory-Instrumental Relations; 9.1 Introduction; 9.2 Data; 9.3 Procrustes Analysis; 9.4 A First Look at the Data: PCA9.5 Matching the Sensory and Instrumental Data Sets9.6 Conclusion; Concluding Remarks Part I11; PART IV: TIME-INTENSITY DATA ANALYSIS; 10 Principal Component Analysis of Time-Intensity Bitterness Curves; 10.1 Introduction; 10.2 Data; 10.3 Principal Curves; 10.4 Non-Centered PCA; 10.5 Further Considerations; 11 Principal Component Analysis of Time-Intensity Curves: Three Methods Compared; 11.1 Introduction; 11.2 Method; 1 1.3 Principal Curve Analysis; 1 1.4 Non-Centered Principal Curves; 11.5 Covariance Principal Curves; 11.6 Correlation Principal Curves; 11.7 Conclusion12 Matching the Shape of Time-Intensity CurvesThis book is an outgrowth of research done by Dr. Gamt Dijsterhuis for his doctoral thesis at the University of Leiden. However, there are also contributions by several other authors, as well, including Eeke van der Burg, John Gower, Pieter Punter, Els van den Broek, and Margo Flipsen. This book discusses the use of Multivariate Data Analysis to solve problems in sensory and consumer research. More specifically the focus is on the analysis of the reactions to certain characteristics of food products, which are in the form of scores given to attributes perceived in the food stimuli; the Publications in food science and nutrition.FoodSensory evaluationMultivariate analysisElectronic books.FoodSensory evaluation.Multivariate analysis.664664.07664.072Dijksterhuis Garmt B146972MiAaPQMiAaPQMiAaPQBOOK9910144384203321Multivariate data analysis in sensory and consumer science517027UNINA01748nam 2200397 450 991058330790332120230120003614.01-5231-2019-31-56990-646-7(CKB)4580000000000091(MiAaPQ)EBC6010365(EXLCZ)99458000000000009120200302d2018 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierInjection molding advanced troubleshooting guide /Randy Kerkstra, Steve BrammerMunich ;Cincinnati :Hanser Publishers :Hanser Publications,[2018]©20181 online resource (514 pages)1-56990-645-9 This highly practical troubleshooting guide solves problems at the machine systematically and quickly. Drawing on a wealth of hands-on experience from the authors, who have built strong reputations in the field, the book is structured by type of problem/solution. Thus, it is an ideal reference to be consulted at the machine. Included is valuable information on robust process windows, cycle time evaluations, scrap savings, and runners/gates with no existing standard in the industry. No other book provides the unique insights found here--Provided by publisher.Reaction injection moldingReaction injection molding.668.412Kerkstra Randy865870Brammer Steve(Chemical engineer),MiAaPQMiAaPQMiAaPQBOOK9910583307903321Injection molding advanced troubleshooting guide1932332UNINA