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Multivariate Calibration
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From the Back Cover
Multivariate Calibration Harald Martens, Chemist, Norwegian Food Research Institute, Aas, Norway and Norwegian Computing Center, Oslo, Norway Tormod Næs, Statistician, Norwegian Food Research Institute, Aas, Norway The aim of this inter-disciplinary book is to present an up-to-date view of multivariate calibration of analytical instruments, for use in research, development and routine laboratory and process operation. The book is intended to show practitioners in chemistry and technology how to extract the quantitative and understandable information embedded in non-selective, overwhelming and apparently useless measurements by multivariate data analysis. Multivariate calibration is the process of learning how to combine data from several channels, in order to overcome selectivity problems, gain new insight and allow automatic outlier detection. Multivariate calibration is the basis for the present success of high-speed Near-Infrared (NIR) diffuse spectroscopy of intact samples. But the technique is very general: it has shown similar advantages in, for instance, UV, Vis, and IR spectrophotometry, (transmittance, reflectance and fluorescence), for x-ray diffraction, NMR, MS, thermal analysis, chromatography (GC, HPLC) and for electrophoresis and image analysis (tomography, microscopy), as well as other techniques. The book is written at two levels: the main level is structured as a tutorial on the practical use of multivariate calibration techniques. It is intended for university courses and self-study for chemists and technologists, giving one complete and versatile approach, based mainly on data compression methodology in self-modelling PLS regression, with considerations of experimental design, data pre-processing and model validation. A second, more methodological, level is intended for statisticians and specialists in chemometrics. It compares several alternative calibration methods, validation approaches and ways to optimize the models. The book also outlines some cognitive changes needed in analytical chemistry, and suggests ways to overcome some communication problems between statistics and chemistry and technology.
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About the Author
Harald Martens is 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.
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Product details
Paperback: 419 pages
Publisher: Wiley; 1 edition (July 28, 1992)
Language: English
ISBN-10: 0471930474
ISBN-13: 978-0471930471
Product Dimensions:
6.1 x 1 x 9.4 inches
Shipping Weight: 1.6 pounds (View shipping rates and policies)
Average Customer Review:
3.9 out of 5 stars
2 customer reviews
Amazon Best Sellers Rank:
#1,298,771 in Books (See Top 100 in Books)
I used the previous edition of this book to teach myself the basics of mulitvariate calibration for use in my research on microfluidic biosensor systems. It is well written with a good development of concepts. It also does a good job of defining the multiplicity of redundant terms in this jargon-soaked field. It requires knowledge of basic linear algebra and assumes an analytical chemistry background. Overall I would recommend it for its content. The price of this edition, however, is criminal. The editing in the '89 edition was atrocious and the graphics very basic. I suppose this new edition could have cleaned that all up... but please! It's only 400-odd pages and it's a paperback! I'm shopping on e-bay for this one.
Are you crazy? Who spend more than 200 dollars for this book? Everything about this topic can be found in the web...Be more reasonable while you write a comment/review about a book like this! And think again before buying it!!!
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