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Most chemists, whether they are biochemists, organic, analytical,
pharmaceutical or clinical chemists and many pharmacists and
biologists need to perform chemical analysis. Consequently, they
are not only confronted with carrying out the actual analysis, but
also with problems such as method selection, experimental design,
optimization, calibration, data acquisition and handling, and
statistics in order to obtain maximum relevant chemical
information. In other words: they are confronted with chemometrics.
This book on chemometrics, written by some of the leaders in the
field, aims to provide a thorough, up-to-date introduction to this
subject. The reader is given the opportunity to acquaint himself
with the tools used in this discipline and the way in which they
are applied. Some practical examples are given and the reader is
shown how to select the appropriate tools in a given
situation.
Pattern recognition and other chemometrical techniques are
important tools in interpreting environmental data. This volume
presents authoritatively state-of-the-art procedures for measuring
and handling environmental data. The chapters are written by
leading experts.
Now available is the second edition of a book which has been
described as ..".an exceptionally lucid, easy-to-read
presentation... would be an excellent addition to the collection of
every analytical chemist. I recommend it with great enthusiasm."
(Analytical Chemistry) N.R. Draper reviewed the first edition in Publication of the
International Statistical Institute ..".discussion is careful,
sensible, amicable, and modern and can be recommended for the
intended readership." The scope of the first edition has been revised, enlarged and
expanded. Approximately 30% of the text is new. The book first
introduces the reader to the fundamentals of experimental design.
Systems theory, response surface concepts, and basic statistics
serve as a basis for the further development of matrix least
squares and hypothesis testing. The effects of different
experimental designs and different models on the
variance-covariance matrix and on the analysis of variance (ANOVA)
are extensively discussed. Applications and advanced topics (such
as confidence bands, rotatability, and confounding) complete the
text. Numerous worked examples are presented. The clear and practical approach adopted by the authors makes the book applicable to a wide audience. It will appeal particularly to those with a practical need (scientists, engineers, managers, research workers) who have completed their formal education but who still need to know efficient ways of carrying out experiments. It will also be an ideal text for advanced undergraduate and graduate students following courses in chemometrics, data acquisition and treatment, and design of experiments.
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