Statistics for Sensory and Consumer Science

✍ Scribed by Tormod N?s, Per B. Brockhoff, Oliver Tomic(auth.)

• Tongue: English
• Leaves: 288
• Category: Library

✦ Synopsis

Content:
Chapter 1 Introduction (pages 1–4):
Chapter 2 Important Data Collection Techniques for Sensory and Consumer Studies (pages 5–10):
Chapter 3 Quality Control of Sensory Profile Data (pages 11–38):
Chapter 4 Correction Methods and Other Remedies for Improving Sensory Profile Data (pages 39–46):
Chapter 5 Detecting and Studying Sensory Differences and Similarities between Products (pages 47–66):
Chapter 6 Relating Sensory Data to Other Measurements (pages 67–77):
Chapter 7 Discrimination and Similarity Testing (pages 79–94):
Chapter 8 Investigating Important Factors Influencing Food Acceptance and Choice (Conjoint Analysis) (pages 95–125):
Chapter 9 Preference Mapping for Understanding Relations between Sensory Product Attributes and Consumer Acceptance (pages 127–153):
Chapter 10 Segmentation of Consumer Data (pages 155–164):
Chapter 11 Basic Statistics (pages 165–180):
Chapter 12 Design of Experiments for Sensory and Consumer Data (pages 181–192):
Chapter 13 ANOVA for Sensory and Consumer Data (pages 193–207):
Chapter 14 Principal Component Analysis (pages 209–225):
Chapter 15 Multiple Regression, Principal Components Regression and Partial Least Squares Regression (pages 227–247):
Chapter 16 Cluster Analysis: Unsupervised Classification (pages 249–261):
Chapter 17 Miscellaneous Methodologies (pages 263–275):