Multivariate Analysis of Quality: An Introduction

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John Wiley & Sons, Feb 8, 2001 - Mathematics - 445 pages
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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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Contents

OVERVIEW Chapters 13
1
Qualimetrics for Determining Quality
25
and the Humanities
49
METHODOLOGY Chapters 411
77
Principal Component Analysis
93
Partial Least Squares
111
Example of a Multivariate Calibration Project
127
Exploring
139
Quality Monitoring
297
Reducing
323
Response Surface Analysis
340
Conclusions
352
Appendix A2 Sensory Science
362
Appendix A4 Mathematical Details
370
Appendix A5 PCA Details
377
Appendix A7 Modelling the Unknown
388

Handling
157
Validation X? Y??
177
l1 Experimental Planning Y? X
207
Quality Determination of Wheat
235
What Determines Quality
257
Predicting Toxicity
275
Appendix A9 Classification and Outlier Detection
394
Appendix All Power Estimation Details
410
Appendix A13 Consequences of the Working Environment Survey
418
References
427
Index
435
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About the author (2001)

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.

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