Chapter 16. Applications of Discriminant and Logistic Regression Analysis for Consumer Acceptance and Consumer-Oriented Product Optimization Study
- Jacqueline H. Beckley,
- M. Michele Foley,
- Elizabeth J. Topp,
- J. C. Huang,
- Witoon Prinyawiwatkul
Published Online: 30 NOV 2007
DOI: 10.1002/9780470277621.ch16
© 2007 Blackwell Publishing and the Institute of Food Technologists
Book Title
Accelerating New Food Product Design and Development
Additional Information
How to Cite
Prinyawiwatkul, W. and Chompreeda, P. (2007) Applications of Discriminant and Logistic Regression Analysis for Consumer Acceptance and Consumer-Oriented Product Optimization Study, in Accelerating New Food Product Design and Development (eds J. H. Beckley, M. M. Foley, E. J. Topp, J. C. Huang and W. Prinyawiwatkul), Blackwell Publishing, Ames, Iowa, USA. doi: 10.1002/9780470277621.ch16
Publication History
- Published Online: 30 NOV 2007
- Published Print: 19 MAR 2007
ISBN Information
Print ISBN: 9780813808093
Online ISBN: 9780470277621
- Summary
- Chapter
- References
Keywords:
- statistical techniques;
- multivariate analysis;
- product optimization;
- classification;
- food company
Summary
This chapter contains sections titled:
Introduction
Case Study I: Acceptance and Purchase Intent of the U.S. Consumers for the Nonwheat Rice Butter Cakes
Case Study II:Consumer-Oriented Product Optimization of Butter Cake Formulations Made Predominantly with Long-Grain Rice Flour