Chemometrics in Analytical Spectroscopy provides students and
practising analysts with a tutorial guide to the use and
application of the more commonly encountered techniques used in
processing and interpreting analytical spectroscopic data. In
detail the book covers the basic elements of univariate and
multivariate data analysis, the acquisition of digital data and
signal enhancement by filtering and smoothing, feature selection
and extraction, pattern recognition, exploratory data analysis by
clustering, and common algorithms in use for multivariate
calibration techniques. An appendix is included which serves as an
introduction or refresher in matrix algebra. The extensive use of
worked examples throughout gives Chemometrics in Analytical
Spectroscopy special relevance in teaching and introducing
chemometrics to undergraduates and post-graduates undertaking
analytical science courses. It assumes only a very moderate level
of mathematics, making the material far more accessible than other
publications on chemometrics. The book is also ideal for analysts
with little specialist background in statistics or mathematical
methods, who wish to appreciate the wealth of material published in
chemometrics.
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