Multivariate Analysis of Data in Sensory Science: Data Handling in Science and Technology, cartea 16
Editat de T. Naes, E. Risviken Limba Engleză Hardback – 31 ian 1996
Sensory scientists, applied statisticians, chemometricians, those working in consumer science, food scientists and agronomers will find this book of value.
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Specificații
ISBN-13: 9780444899569
ISBN-10: 0444899561
Pagini: 347
Ilustrații: 1
Dimensiuni: 163 x 240 x 21 mm
Greutate: 0.69 kg
Editura: ELSEVIER SCIENCE
Seria Data Handling in Science and Technology
ISBN-10: 0444899561
Pagini: 347
Ilustrații: 1
Dimensiuni: 163 x 240 x 21 mm
Greutate: 0.69 kg
Editura: ELSEVIER SCIENCE
Seria Data Handling in Science and Technology
Cuprins
Preface. 1. Understanding latent phenomena (E. Risvik). 2. Experimental design (E.A. Hunter). 3. Preference mapping for product optimization (J.A. McEwan). 4. Analysing complex sensory data by non-linear artificial neural networks (K. Kvaal, J.A. McEwan). 5. Relationships between sensory measurements and features extracted from images (K. Kvaal, P. Baardseth, U.G. Indahl, T. Isaksson). 6. Analysing differences among products and panelists by multidimensional scaling (R. Popper, H. Heymann). 7. Procrustes analysis in sensory research (G. Dijksterhuis). 8. Generalised canonical analysis of individual sensory profiles and instrumental data (E. van der Burg, G. Dijksterhuis). 9. Defining and validating assessor compromises about product distances and attribute correlations (P. Schlich). 10. Analysing individual profiles by three-way Factor analysis (P.M. Brockhoff, D. Hirst, T. Næs). Index.
Recenzii
"This book is recommended to food and sensory scientists, chemometricians, applied statisticians and anyone working in consumer science." --Food Science