16. Applications of Discriminant and Logistic Regression Analysis for Consumer Acceptance and Consumer-Oriented Product Optimization Study

  1. Jacqueline H. Beckley,
  2. M. Michele Foley,
  3. Elizabeth J. Topp,
  4. J. C. Huang and
  5. Witoon Prinyawiwatkul
  1. Witoon Prinyawiwatkul and
  2. Penkwan Chompreeda

Published Online: 30 NOV 2007

DOI: 10.1002/9780470277621.ch16

Accelerating New Food Product Design and Development

Accelerating New Food Product Design and Development

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

  1. Published Online: 30 NOV 2007
  2. Published Print: 19 MAR 2007

ISBN Information

Print ISBN: 9780813808093

Online ISBN: 9780470277621

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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