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Multivariate Calibration (Paperback, Revised)
Loot Price: R9,594
Discovery Miles 95 940
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Multivariate Calibration (Paperback, Revised)
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Multivariate Calibration Harald Martens, Chemist, Norwegian Food
Research Institute, Aas, Norway and Norwegian Computing Center,
Oslo, Norway Tormod NA]s, 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 ofexperimental 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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