Naes (61 risultati)

paperback. Condizione: New.

Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Condizione: New. 1996. Paperback. . . . . . Books ship from the US and Ireland.

Condizione: New. 1996. Paperback. . . . . .

Softcover. good condition with minor soiling xlibrary with usual markings; xlibrary with usual markings; LIB2958011046.

Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,500grams, ISBN:8773075264.

Condizione: Wie neu. 1. 153 S. Alle Bücher & Medienartikel von Book Broker sind stets in gutem & sehr gutem gebrauchsfähigen Zustand. Unser Produktfoto entspricht dem hier angebotenen Artikel, dieser weist folgende Merkmale auf: Ausgabejahr. unbekannt. Original in Folie. Sprache: Deutsch Gewicht in Gramm: 181 Softcover, Maße: 12.2 cm x 1.3 cm x 19.5 cm.…

Oslo 1939. Pag. 145-214. Softcover. Stamped.[#62679].

Oslo 1939. Pag. 145-214. Half cloth.*Extract from Norsk tidskrift for sprogvidenskap.[#33873].

Condizione: new.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Blanda. Condizione: Usado. NOTA: EL COSTO DEL ENVÍO SOLAMENTE AMPARA 0.9 KILOS DE PESO. EN CASO DE QUE EL LIBRO PESE MÁS DE 0.9 KILOS, SE TE SOLICITARÁ PAGAR UN COSTO EXTRA. ESTADO DEL LIBRO: USADO. APARIENCIA: BUENA. ENCUADERNACIÓN: TAPA BLANDA. EDICIÓN: 1. AÑO: 2006. MEDIDAS DEL LIBRO: 22 X 16 X 0.3 CM. PÁGINAS: 158. PESO: 308 GRS. UNIÓN: LIBRO COSIDO. CANTOS: CON LEVES SIGNOS DE USO. INTERIORES: COMPLETOS E ÍNTEGROS. NOTAS EN EL INTERIOR: NO. SELLOS: NO. SUBRAYADO: NO. FIRMAS O DEDICATORIA: PARTE SUPERIOR DE LA PRIMERA PÁGINA CON ANOTACIÓN CON PLUMA NEGRA Y AZUL. PARTICULARIDADES EXTRAS: EL LIBRO TIENE SOLAPAS.…

Condizione: New. In English.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: new.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Hardback. Condizione: 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 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 methodologies It 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.…

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. In English.

Condizione: As New. Unread book in perfect condition.

Hardback. 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.…