Articles liés à Multivariate Analysis of Quality: An Introduction
Synopsis
Book by Martens Harald Martens M
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Quatrième de couverture
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.
Présentation de l'éditeur
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)
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurJohn Wiley & Sons Inc
- Date d'édition2000
- ISBN 10 0471974285
- ISBN 13 9780471974284
- ReliureRelié
- Langueanglais
- Nombre de pages468
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Multivariate Analysis of Quality : An Introduction
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ISBN 10 : 0471974285
ISBN 13 : 9780471974284
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Introduction to Multivariate Data Analysis
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John Wiley & Sons, 2000
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Etat : New. This is an important book the authors have done a quality job. (N.I.R. News, Vol 12/1, 2001) This book is recommended to students of chemical, biochemical and food engineering, scientists and industrial practitioners . (Chemical Biochemical Engineering. N° de réf. du vendeur 446918927
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Multivariate Analysis of Quality : An Introduction
Edité par
Wiley, 2001
ISBN 10 : 0471974285
ISBN 13 : 9780471974284
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Multivariate Analysis of Quality (Hardcover)
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John Wiley & Sons Inc, New York, 2000
ISBN 10 : 0471974285
ISBN 13 : 9780471974284
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Hardcover. Etat : 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. N° de réf. du vendeur 9780471974284
Quantité disponible : 1 disponible(s)
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Multivariate Analysis of Quality (Hardcover)
Edité par
John Wiley & Sons Inc, New York, 2000
ISBN 10 : 0471974285
ISBN 13 : 9780471974284
Neuf
Couverture rigide
Edition originale
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : 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. N° de réf. du vendeur 9780471974284
Quantité disponible : 1 disponible(s)