Multivariate Data Analysis in Sensory and Consumer Science

Description

This book is about Sensometrics: the statistical analysis of data from sensory and consumer science. Sensory and consumer science is a broad field, comprising research in food, drinks, personal care products, tobacco, cleaning agents, etc. Before a product is to be launched on the market it is often tested by sensory panels. The analytical panels with trained judges assess the products on a great number of specific properties using sensory profiling techniques. In consumer tests the focus is on the acceptance of certain products or the preference for a specific product.

Following an introduction to sensory and consumer science and the special types of data abundant in these fields, eleven chapters address four themes in sensometrics: individual differences between the assessors in a sensory panel, the measurement level of the collected data and non linear analyses, sensory-instrumental relations, and time-intensity data analysis. The analyses are performed using, among others, Procrustes Analysis, Multidimensional Scaling, Principal Component Analysis, Canonical Analysis, Redundancy Analysis, and Biplots.

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1. Ebooks list page : 2555
2. Multivariate Data Analysis in Sensory and Consumer Science
3. Multivariate Analysis of Data in Sensory Science (Data Handling in Science and Technology)
4. Multivariate and Probabilistic Analyses of Sensory Science Problems
5. Analysis of Variance for Sensory Data
6. Analysis of Variance for Sensory Data
7. Analysis of Variance for Sensory Data
8. Analysis of Variance for Sensory Data
9. Multivariate Data Analysis
10. Analysis of Incomplete Multivariate Data
11. Multivariate Exploratory Data Analysis
12. Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS
13. Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS
14. Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS
15. Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS
16. [request_ebook] Analysis of Multivariate Survival Data