Tormod Næs, Paula Varela, Ingunn Berget

Individual Differences in Sensory and Consumer Science (eBook, ePUB)

Experimentation, Analysis and Interpretation

• Format: ePub

Produktbeschreibung

Individual Differences in Sensory and Consumer Science: Experimentation, Analysis and Interpretation presents easily readable, state-of-the-art coverage on how to plan and execute experiments that give rise to individual differences, also providing the framework for successful analysis and interpretation of results. The book highlights the different methodologies that can be applied and how to select the correct methodology based on the type of study you are performing, be it product research and development, quality control or consumer acceptance studies.

Written by an experienced team of statisticians and sensory and consumer scientists, the book provides both academics and industry professionals with the first complete overview of a topic of ever-increasing importance.

• Identifies how to plan and execute experiments in sensory and consumer science
• Analyzes and interprets individual variances in sensory and consumer research
• Differentiates best practices for examining product development, quality control and consumer acceptance

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 260
• Erscheinungstermin: 21. Februar 2018
• Englisch
• ISBN-13: 9780081011140
• Artikelnr.: 50473749

Autorenporträt

Tormod Naes is a Professor of Statistics at Nofima (The Norwegian Institute of Food, Fisheries and Aquaculture Research) and has experience in both method development and applications within a large number of areas the most important being spectroscopy, process optimisation, product development and sensory science. He has co-authored and co-edited six books in the areas of chemometrics, statistics and sensory science.

Inhaltsangabe

1. Introduction
2. General concept and framework
3. Individual differences in descriptive sensory data
4. Individual differences in discrimination testing
5. Individual differences in projective mapping
6. Individual differences in CATA, sorting and PSP
7. Individual differences in TDS
8. Individual differences in consumer liking data (rating)
9. Individual differences in consumer liking data (choice based conjoint)
Appendix: The different statistical methods used