Multivariate Data Analysis in Sensory and Consumer Science (Publications in Food Science and Nutrition)

MULTIVARIATE DATA ANALYSIS IN SENSORY AND CONSUMER SCIENCE......Page 1
CONTENTS......Page 11
Prologue and Acknowledgements......Page 9
1 Introduction......Page 16
1.3 Sensory Research and Sensory Profiling Data......Page 20
1.1 Research Question......Page 17
1.4 Sensory Profiling......Page 24
1.5 Individual Differences......Page 28
1.6 Measurement Levels......Page 31
1.7 Sensory-Instrumental Relations......Page 39
1.8 Time-Intensity Data Analysis......Page 43
1.9 Data Analysis. Confirmation and Exploration......Page 45
1.10 Structure of the Book......Page 50
Introduction to Part I......Page 55
2.1 Introduction......Page 61
2.4 Examples......Page 65
2.5 Conclusion......Page 77
2.3 Method......Page 63
2.2 Data Structure......Page 62
3.1 Introduction......Page 79
3.2 Two Different Procrustes Methods......Page 80
3.3 Sums-of-squares in Generalized Procrustes Analysis......Page 81
3.4 Scaling the Total Variance......Page 84
3.5 Generalized Procrustes Analysis of a Conventional Profiling Experiment......Page 85
3.6 Generalized Procrustes Analysis of a Free Choice Profiling Experiment......Page 92
3.7 Conclusion......Page 98
Concluding Remarks Part I......Page 99
Introduction to Part II......Page 105
4.1 Introduction......Page 112
4.2 Data......Page 113
4.3 Methodology......Page 116
4.4 Analyses......Page 122
4.5 Conclusion......Page 135
5.1 Introduction......Page 137
5.2 K-Sets Homogeneity Analysis......Page 138
5.3 K-Sets Canonical Correlation Analysis......Page 140
5.4 An Application of Overals to Multiway Data......Page 142
5.5 Conclusion......Page 148
6.1 Introduction......Page 151
6.2 Generalised Canonical Analysis......Page 153
6.3 Nonlinear Generalised Canonical Analysis......Page 155
6.4 Application from Sensory Research......Page 157
6.5 Results......Page 160
6.6 Conclusion......Page 163
Concluding Remarks Part II......Page 164
Introduction to Part I11......Page 169
7.1 Introduction......Page 175
7.2 Redundancy Analysis......Page 176
7.3 Optimal Scaling......Page 177
7.4 Apple Data......Page 178
7.5 Results For Cox Apples......Page 180
7.6 Results For Elstar......Page 183
7.7 Conclusion......Page 185
8.1 Introduction......Page 187
8.2 Techniques......Page 188
8.3 Description of the Data......Page 189
8.4 REDUNDALS Results......Page 191
8.5 CANALS Results......Page 193
8.6 Conclusions......Page 194
9.1 Introduction......Page 197
9.2 Data......Page 199
9.3 Procrustes Analysis......Page 200
9.4 A First Look at the Data: PCA......Page 202
9.5 Matching the Sensory and Instrumental Data Sets......Page 207
9.6 Conclusion......Page 211
Concluding Remarks Part I11......Page 213
PART IV: TIME-INTENSITY DATA ANALYSIS......Page 219
Introduction to Part IV......Page 14
10.1 Introduction......Page 225
10.2 Data......Page 226
10.3 Principal Curves......Page 230
10.4 Non-Centered PCA......Page 234
10.5 Further Considerations......Page 236
11.1 Introduction......Page 237
11.2 Method......Page 239
1 1.3 Principal Curve Analysis......Page 243
1 1.4 Non-Centered Principal Curves......Page 244
11.5 Covariance Principal Curves......Page 251
11.6 Correlation Principal Curves......Page 252
11.7 Conclusion......Page 254
12.1 Introduction......Page 257
12.2 Method: Shape Analysis......Page 258
12.3 Examples......Page 260
12.4 Conclusion......Page 269
Concluding Remarks Part IV......Page 270
13.1 Introduction......Page 275
13.2 PART I: Individual Differences......Page 276
13.3 PART 11: Measurement Levels......Page 280
13.4 PART 111: Sensory-Instrumental Relations......Page 283
13.5 PART IV: Time-Intensity Data Analysis......Page 284
13.6 Closing Remarks......Page 286
References......Page 287
Abbreviations and Acronyms......Page 301
Author Index......Page 303
Subject Index......Page 307