Statistics for sensory and consumer science
"As we move further into the 21st Century, sensory and consumer studies continue to develop, playing an important role in food science and industry. These studies are crucial for understanding the relation between food properties on one side and human liking and buying behaviour on the other. T...
| Main Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
Chichester, West Sussex, England :
John Wiley & Sons ,
c2010
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| Subjects: |
Table of Contents:
- 1. Introduction
- 2. Important data collection techniques for sensory and consumer studies
- 3. Quality control of sensory profile data
- 4. Correction methods and other remedies for improving sensory profile data
- 5. Detecting and studying sensory differences and similarities between product
- 6. Relating sensory data to other measurements
- 7. Discrimination and similarity testing
- 8. Investigating important factors influencing food acceptance and choice
- 9. Preference mapping for understanding relations between sensory product attributes and consumer acceptance
- 10. Segmentation of consumer data
- 11. Basic statistics
- 12. Design of experiments for sensory and consumer data
- 13. ANOVA for sensory and consumer data
- 14. Principal component analysis
- 14. Multiple regression, principal components regression and partial least squares regression
- 16. Cluster analysis: unsupervised classification
- 17. Miscellaneous methodologies