Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Aggiungi al carrelloCondizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Aggiungi al carrelloHardcover. Condizione: Trčs bon. Ancien livre de bibliothčque avec équipements. Edition 2010. Ammareal reverse jusqu'ą 15% du prix net de cet article ą des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2010. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 137,81
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EUR 154,23
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EUR 163,27
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Da: Majestic Books, Hounslow, Regno Unito
EUR 155,60
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Aggiungi al carrelloCondizione: New. pp. 260.
EUR 149,29
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EUR 149,28
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Da: Revaluation Books, Exeter, Regno Unito
EUR 155,43
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Aggiungi al carrelloPaperback. Condizione: Brand New. 250 pages. 8.75x6.00x0.50 inches. In Stock.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 151,37
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Condizione: New. pp. 260.
EUR 158,12
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Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2022
ISBN 10: 1119600960 ISBN 13: 9781119600961
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 180,36
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Aggiungi al carrelloHardback. Condizione: New. Multiblock Data Fusion in Statistics and Machine Learning Explore the advantages and shortcomings of various forms of multiblock analysis, and the relationships between them, with this expert guide Arising out of fusion problems that exist in a variety of fields in the natural and life sciences, the methods available to fuse multiple data sets have expanded dramatically in recent years. Older methods, rooted in psychometrics and chemometrics, also exist. Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences is a detailed overview of all relevant multiblock data analysis methods for fusing multiple data sets. It focuses on methods based on components and latent variables, including both well-known and lesser-known methods with potential applications in different types of problems. Many of the included methods are illustrated by practical examples and are accompanied by a freely available R-package. The distinguished authors have created an accessible and useful guide to help readers fuse data, develop new data fusion models, discover how the involved algorithms and models work, and understand the advantages and shortcomings of various approaches. This book includes: A thorough introduction to the different options available for the fusion of multiple data sets, including methods originating in psychometrics and chemometricsPractical discussions of well-known and lesser-known methods with applications in a wide variety of data problemsIncluded, functional R-code for the application of many of the discussed methods Perfect for graduate students studying data analysis in the context of the natural and life sciences, including bioinformatics, sensometrics, and chemometrics, Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences is also an indispensable resource for developers and users of the results of multiblock methods.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 173,88
Quantitą: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 260.
EUR 134,10
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Aggiungi al carrelloCondizione: New. As we move further into the 21st Century, sensory and consumer studies continue to develop, playing an important role in food science and industry. These studies are crucial for understanding the relation between food properties on one side and human liking.
EUR 195,40
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Aggiungi al carrelloCondizione: New. This book by a group of established scientists gives a comprehensive, up-to-date overview of the most common statistical methods for handling data from both trained sensory panels and consumer studies of food. Num Pages: 300 pages, Illustrations. BIC Classification: PB; PN; TDCT; TT. Category: (P) Professional & Vocational. Dimension: 253 x 178 x 22. Weight in Grams: 658. . 2010. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Da: Revaluation Books, Exeter, Regno Unito
EUR 198,19
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Aggiungi al carrelloHardcover. Condizione: Brand New. 286 pages. 9.61x6.69x1.02 inches. In Stock.
Da: preigu, Osnabrück, Germania
EUR 142,35
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Aggiungi al carrelloBuch. Condizione: Neu. Individual Differences in Sensory and Consumer Science | Experimentation, Analysis and Interpretation | Tormod Naes (u. a.) | Buch | Englisch | Woodhead Publishing | EAN 9780081010006 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
EUR 165,57
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - As we move further into the 21st Century, sensory and consumer studies continue to develop, playing an important role in food science and industry. These studies are crucial for understanding the relation between food properties on one side and human liking and buying behaviour on the other.This book by a group of established scientists gives a comprehensive, up-to-date overview of the most common statistical methods for handling data from both trained sensory panels and consumer studies of food.It presents the topic in two distinct sections: problem-orientated (Part I) and method orientated (Part II), making it to appropriate for people at different levels with respect to their statistical skills.This book succesfully:\* Makes a clear distinction between studies using a trained sensory panel and studies using consumers.\* Concentrates on experimental studies with focus on how sensory assessors or consumers perceive and assess various product properties.\* Focuses on relationships between methods and techniques and on considering all of them as special cases of more general statistical methodologiesIt is assumed that the reader has a basic knowledge of statistics and the most important data collection methods within sensory and consumer science.This text is aimed at food scientists and food engineers working in research and industry, as well as food science students at master and PhD level. In addition, applied statisticians with special interest in food science will also find relevant information within the book.