Multivariate data analysis in sensory and consumer science [[electronic resource] /] / by Garmt B. Dijksterhuis |
Autore | Dijksterhuis Garmt B |
Pubbl/distr/stampa | Trumbull, Conn., : Food & Nutrition Press, c1997 |
Descrizione fisica | 1 online resource (320 p.) |
Disciplina |
664
664.07 664.072 |
Collana | Publications in food science and nutrition |
Soggetto topico |
Food - Sensory evaluation
Multivariate analysis |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-45026-X
9786611450267 0-470-38505-7 0-470-38483-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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 Method
2.4 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 Conclusion 5 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 I11 7 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: PCA 9.5 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 Conclusion 12 Matching the Shape of Time-Intensity Curves |
Record Nr. | UNINA-9910144384203321 |
Dijksterhuis Garmt B | ||
Trumbull, Conn., : Food & Nutrition Press, c1997 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Multivariate data analysis in sensory and consumer science [[electronic resource] /] / by Garmt B. Dijksterhuis |
Autore | Dijksterhuis Garmt B |
Pubbl/distr/stampa | Trumbull, Conn., : Food & Nutrition Press, c1997 |
Descrizione fisica | 1 online resource (320 p.) |
Disciplina |
664
664.07 664.072 |
Collana | Publications in food science and nutrition |
Soggetto topico |
Food - Sensory evaluation
Multivariate analysis |
ISBN |
1-281-45026-X
9786611450267 0-470-38505-7 0-470-38483-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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 Method
2.4 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 Conclusion 5 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 I11 7 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: PCA 9.5 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 Conclusion 12 Matching the Shape of Time-Intensity Curves |
Record Nr. | UNISA-996197287803316 |
Dijksterhuis Garmt B | ||
Trumbull, Conn., : Food & Nutrition Press, c1997 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Multivariate data analysis in sensory and consumer science [[electronic resource] /] / by Garmt B. Dijksterhuis |
Autore | Dijksterhuis Garmt B |
Pubbl/distr/stampa | Trumbull, Conn., : Food & Nutrition Press, c1997 |
Descrizione fisica | 1 online resource (320 p.) |
Disciplina |
664
664.07 664.072 |
Collana | Publications in food science and nutrition |
Soggetto topico |
Food - Sensory evaluation
Multivariate analysis |
ISBN |
1-281-45026-X
9786611450267 0-470-38505-7 0-470-38483-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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 Method
2.4 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 Conclusion 5 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 I11 7 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: PCA 9.5 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 Conclusion 12 Matching the Shape of Time-Intensity Curves |
Record Nr. | UNINA-9910830893903321 |
Dijksterhuis Garmt B | ||
Trumbull, Conn., : Food & Nutrition Press, c1997 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Multivariate data analysis in sensory and consumer science / / by Garmt B. Dijksterhuis |
Autore | Dijksterhuis Garmt B |
Pubbl/distr/stampa | Trumbull, Conn., : Food & Nutrition Press, c1997 |
Descrizione fisica | 1 online resource (320 p.) |
Disciplina | 664/.07 |
Collana | Publications in food science and nutrition |
Soggetto topico |
Food - Sensory evaluation
Multivariate analysis |
ISBN |
1-281-45026-X
9786611450267 0-470-38505-7 0-470-38483-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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 Method
2.4 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 Conclusion 5 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 I11 7 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: PCA 9.5 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 Conclusion 12 Matching the Shape of Time-Intensity Curves |
Record Nr. | UNINA-9910877445603321 |
Dijksterhuis Garmt B | ||
Trumbull, Conn., : Food & Nutrition Press, c1997 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|