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Business/Investing Business Analysis Techniques: 72 Essential Tools for Success
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Business/Investing Conferences and Conventions, Second Edition: A global industry (Events Management) (repost)
Business/Investing Management, 6th Edition
Business/Investing Mobile Service Innovation and Business Models (Repost)
Business/Investing Reconfiguring Knowledge Production: Changing Authority Relationships in the Sciences and their Consequences
Business/Investing Accepted! 50 Successful College Admission Essays, 3 Edition (Repost)
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Business/Investing Power of An Hour (Repost)
Business/Investing Boards That Deliver (Repost)
Business/Investing Jrgen R. Grote, Achim Lang, Volker Schneider - Organized Business Interests in Changing Environments
Business/Investing Green Business - das Milliardengeschäft: Nach den Dot-coms kommen jetzt die Dot-greens (repost)
Business/Investing Forex Shockwave Analysis (repost)
Business/Investing IPO and Equity Offerings (Securities Institute Global Capital Markets) (Repost)
Business/Investing Careers for Self-Starters & Other Entrepreneurial Types
Business/Investing David Mercer "Building Online Stores with osCommerce: Professional Edition" (repost)
Business/Investing An Annotated Timeline of Operations Research: An Informal History (Repost)
Business/Investing Economic Development, 4th Edition (Repost)
Business/Investing Positioning: The Battle for Your Mind, 20th Anniversary Edition
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Business/Investing Multivariate and Probabilistic Analyses of Sensory Science Problems
Posted on 2010-03-16
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More Multivariate and Probabilistic Analyses of Sensory Science Problems Sensory scientists are often faced with making business decisions based on the results of complex sensory tests involving a multitude of variables. Multivariate and Probabilistic Analyses of Sensory Science Problems explains the multivariate and probabilistic methods available to sensory scientists involved in product development or maintenance. The techniques discussed address sensory problems such as panel performance, product profiling, and exploration of consumer data, including segmentation, and identifying drivers of liking. Applied in approach and written for non-statisticians, the text is aimed at sensory scientists who deal mostly with descriptive analysis and consumer studies. Multivariate and Probabilistic Analyses offers simple, easy-to-understand explanations of difficult statistical concepts and provides an extensive list of case studies with step-by-step instructions for performing analyses and interpreting the results. Coverage includes a refresher on basic statistical concepts; use of a common data set throughout the text; summary tables presenting the pros and cons of specific methods and the conclusions that may be drawn from using various methods; decision trees for determining the type of analyses to be performed with specific data; and sample program codes to perform the analyses and sample outputs. As the latest member of the IFT Press series, Multivariate and Probabilistic Analyses of Sensory Science Problems will be welcomed by sensory scientists in the food industry and other industries using similar testing methodologies, as well as by faculty teaching advanced sensory courses, and professionals conducting and participating in workshops addressing multivariate analysis of sensory and consumer data.
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