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Nonparametrics for Sensory Science : A More Informative Approach by Rayner, J.C.W. (editor);Best, D.J. (editor);Brockhoff, P.B. (editor);Rayner, G.D. (editor) is a nonfiction available to read on EtoBox.

What is Nonparametrics for Sensory Science : A More Informative Approach about?

Sensory evaluation is the perception science of the food industry. Sensory data can be costly to obtain and so gleaning the most information possible from the data is key. Increasingly, value is added to sensory evaluation by the use of statistics, especially to improve the quality of product development and to make the most of market research. __Nonparametrics for Sensory Science__ is written to complement existing parametric methodology. Nonparametric methods are appropriate when facts are only available in nominal or ordinal form, and when the model assumptions necessary for parametric procedures do not hold. Author Rayner and his colleagues consider problems including the most commonly occurring and important experimental designs: the one-sample, k-sample, blocked samples, samples with factorial structure and samples with correlation structure. Innovative new techniques are outlined and complemented with real examples. Techniques described may be applied to data where the traditional, most frequently applied nonparametric tests, such as the Kruskal-Wallis, the Friedman and the Spearman tests, are applied. Those familiar with traditional nonparametric testing will be able to upd

Who reads Nonparametrics for Sensory Science : A More Informative Approach?

Author

Rayner, J.C.W. (editor);Best, D.J. (editor);Brockhoff, P.B. (editor);Rayner, G.D. (editor)

Publisher

Blackwell Publishing Limited

Published

2005

Language

EN

ISBN

9780470293836

Category

nonfiction

Subjects

Science, Technology, Mathematics