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Multivariate Analysis of Data in Sensory Science, Volume 16 (Data Handling in Science and Technology)
 
 
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Multivariate Analysis of Data in Sensory Science, Volume 16 (Data Handling in Science and Technology) [Hardcover]

T. Naes (Editor), E. Risvik (Editor)

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Book Description

0444899561 978-0444899569 February 15, 1996 1
The state-of-the-art of multivariate analysis in sensory science is described in this volume. Both methods for aggregated and individual sensory profiles are discussed. Processes and results are presented in such a way that they can be understood not only by statisticians but also by experienced sensory panel leaders and users of sensory analysis.

The techniques presented are focused on examples and interpretation rather than on the technical aspects, with an emphasis on new and important methods which are possibly not so well known to scientists in the field. Important features of the book are discussions on the relationship among the methods with a strong accent on the connection between problems and methods. All procedures presented are described in relation to sensory data and not as completely general statistical techniques.

Sensory scientists, applied statisticians, chemometricians, those working in consumer science, food scientists and agronomers will find this book of value.


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This book is recommended to food and sensory scientists, chemometricians, applied statisticians and anyone working in consumer science.
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Inside This Book (learn more)
First Sentence:
Drinking a glass of wine can be described in many ways. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
projection procrustes analysis, sensory profiling data, group average configuration, preference mapping study, free choice profiling data, pea flavour, generalised procrustes analysis, external preference mapping, group average variance, numerical measurement levels, sensory profile data, internal preference mapping, group average position, individual sample spaces, vanilla samples, compromise plot, dissimilarity scaling, cheese data, negative ideal points, nodes optimisation, sensory assessors, positive ideal point, ideal point model, latent phenomena, projected centroids
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Academic Press, Axis Eigenvalue Variance, Elsevier Science, John Wiley, Latin Squares, Multivariate Analysis of Data, Marcel Dekker, Elsevier Applied Science, Chemical Senses, Food Agric, Sensory Evaluation Practices, United Kingdom, Absolute Error, Consumer Dim, Great Britain, Marketing Research, Springer Verlag, Ellis Horwood, Flavor Measurement, Food Acceptability, Leiden University, Multidimensional Analysis of Large Data Sets, Oliemans Punter, Pascal Schlich
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