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Sinopsis
Data analysis is a vital part of science today, and in assessing quality, multivariate analysis is often necessary in order to avoid loss of essential information. Martens provides a powerful and versatile methodology that enables researchers to design their investigations and analyse data effectively and safely, without the need for formal statistical training.
* Offers an introductory explanation of multivariate analysis by graphical 'soft modelling'
* Minimises mathematics, providing all technical details in the appendix
* Presents itself in an accessible style with cartoons, self-assessment questions and a wide range of practical examples
* Demonstrates the methodology for various types of quality assessment, ranging from human quality perception via industrial quality monitoring to environmental quality and its molecular basis
All data sets available FREE online on "Chemometrics World" (http://www.wiley.co.uk/wileychi/chemometrics)
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Acerca del autor
Harald Martens, Professor of Chemometrics, Norwegian University of Science and Technology, and Technical University of Denmark. He is co-author of the best selling book, Multivariate Calibration, also published by John Wiley & Sons. He has won many awards for his work in data analysis including in 1999 the Galactic Industries Prize and the Herman World medal. His present developments have also been incorporated by CAMO Inc in their latest version of The Unscrambler.
Magni Martens, Professor of Sensory Science, Royal Veterinary & Agricultural University, Denmark. She has also won awards for her work in sensory science including in 2000 the prestigious Carlsberg Research Foundation proze. She has published numerous papers on multivariate data analysis for relating "soft" human quality perception to "hard" facts and measurements.
De la contraportada
Multivariate data analysis is a central tool whenever several variables need to be considered at the same time. The present book explains a powerful and versatile way to analyse data tables, suitable also for researchers without formal training in statistics.
This method for extracting useful information from data is demonstrated for various types of quality assessment, ranging from human quality perception via industrial quality monitoring to health quality and its molecular basis.
Key features include:
* Minimum mathematics; all technical details in appendix form
* Very accessible style with cartoons, self assessment questions and wide range of practical examples
* All data sets available FREE online on Chemometrics World (http://www.wiley.co.uk/wileychi/chemometrics).
Essential reading for researchers who need data analysis in practice, it will be of particular interest to chemometricians, sensometricians and food scientists already familiar with Harald's previous book.
The book is written with ISO certified businesses and laboratories in mind, to enhance Total Quality Management (TQM). As yet there are no clear guidelines for realistic data analysis of quality in complex systems - this volume bridges the gap.
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ISBN 13: 9780471974284
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Hardcover. Condición: new. Hardcover. Data analysis is a vital part of science today, and in assessing quality, multivariate analysis is often necessary in order to avoid loss of essential information. Martens provides a powerful and versatile methodology that enables researchers to design their investigations and analyse data effectively and safely, without the need for formal statistical training. * Offers an introductory explanation of multivariate analysis by graphical 'soft modelling' * Minimises mathematics, providing all technical details in the appendix * Presents itself in an accessible style with cartoons, self-assessment questions and a wide range of practical examples * Demonstrates the methodology for various types of quality assessment, ranging from human quality perception via industrial quality monitoring to environmental quality and its molecular basis All data sets available FREE online on "Chemometrics World" Provides a powerful and versatile methodology that enables researchers to design their investigations and analyse data effectively and safely, without the need for formal statistical training. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9780471974284
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Multivariate Analysis of Quality (Hardcover)
Publicado por
John Wiley & Sons Inc, New York, 2000
ISBN 10: 0471974285
ISBN 13: 9780471974284
Nuevo
Tapa dura
Original o primera edición
Librería: CitiRetail, Stevenage, Reino Unido
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Hardcover. Condición: new. Hardcover. Data analysis is a vital part of science today, and in assessing quality, multivariate analysis is often necessary in order to avoid loss of essential information. Martens provides a powerful and versatile methodology that enables researchers to design their investigations and analyse data effectively and safely, without the need for formal statistical training. * Offers an introductory explanation of multivariate analysis by graphical 'soft modelling' * Minimises mathematics, providing all technical details in the appendix * Presents itself in an accessible style with cartoons, self-assessment questions and a wide range of practical examples * Demonstrates the methodology for various types of quality assessment, ranging from human quality perception via industrial quality monitoring to environmental quality and its molecular basis All data sets available FREE online on "Chemometrics World" Provides a powerful and versatile methodology that enables researchers to design their investigations and analyse data effectively and safely, without the need for formal statistical training. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9780471974284
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