Synopsis
Multivariate Data Analysis - in practice adopts a practical, non-mathematical approach to multivariate data analysis. The book's principal objective is to provide a conceptual framework for multivariate data analysis techniques, enabling the reader to apply these in his or her own field. <BR><BR> Features: <BR><BR> Focuses on the practical application of multivariate techniques such as PCA, PCR and PLS and experimental design. Non-mathematical approach - ideal for analysts with little or no background in statistics. Step by step introduction of new concepts and techniques promotes ease of learning. Theory supported by hands-on exercises based on real-world data. A full training copy of The Unscrambler® (for Windows® 95, Windows® NT 3.51 or later versions) including data sets for the exercises is available. Tutorial exercises based on data from real-world applications are used throughout the book to illustrate the use of the techniques introduced, providing the reader with a working knowledge of modern multivariate data analysis and experimental design. All exercises use The Unscrambler®, a de facto industry standard for multivariate data analysis software packages. Multivariate Data Analysis in Practice is an excellent self-study text for scientists, chemists and engineers from all disciplines (non-statisticians) wishing to exploit the power of practical multivariate methods. It is very suitable for teaching purposes at the introductory level, and it can always be supplemented with higher level theoretical literature.
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About the Author
Kim H. Esbensen, Ph.D., has more than 20 years of experience in multivariate data analysis and applied chemometrics. He was professor in chemometrics at the Norwegian Telemark Institute of Technology (HIT/TF), Institute of Process Technology (PT) 1995-2001, where he was also head of the Chemometrics Department Tel-Tek, Telemark Industrial R&D Center, Porsgrunn. Between these institutions he founded ACRG: the Applied Chemometrics Research Group, HIT/TFTel- Tek, which a.o. hosted SSC6, the 6th Scandinavian Symposium on Chemometrics, August 1999 as well as numerous other international courses, workshops and meetings. July 1st, 2001 he moved to a position as research professor in Applied Chemometrics at Aalborg University, Esbjerg, Denmark (AUE), where he is currently leading ACACSRG: the Applied Chemometrics, Analytical Chemistry and Sampling Research Group. As the name implies, applied chemometrics activities continue in Esbjerg while new activities are added most notably through close collaboration with assoc. prof. Lars P. Houmøller, who independently built up the area of analytical chemistry/chemometrics at AUE before Prof. Esbensen s arrival. Most recently the discipline of sampling (proper sampling) has been added, in recognition of the immense importance of sampling in any data analytical discipline, including chemometrics. Kim H. Esbensen has published more than 60 papers and technical reports on a wide range of chemical, geochemical, industrial, technological, remote sensing, image analytic and acoustic chemometric applications. Together with Paul Geladi he has been instrumental in codeveloping the concept of Multivariate Image Analysis (MIA); with ACRG he pioneered the development of the novel area of acoustic chemometrics. His M. Sc. is from the University of Aarhus, Denmark in 1978 (geology, geochemistry), while a Ph.D. was conferred him by the Technical University of Denmark (DTH) in 1981 within the areas of metallurgy, meteoritics and multivariate data analysis. He then did post-doctoral work for two years with the Research Group for Chemometrics at the University of Umeå 1980-1981, after which he worked in a Swedish geochemical exploration company, Terra Swede, for two more years. Moving to Norway, this was followed by eight years as data analytical research scientist at the Norwegian Computing Center (NCC), Oslo, after which he became a senior research scientist at SINTEF, the Norwegian Foundation for Industrial and Technological Research for four additional years. In between these two assignments he was a visiting guest professor at Norsk Hydro s Research Center in Bergen.
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Multivariate Data Analysis - in practice
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