Item description for Chemometrics: Statistics and Computer Application in Analytical Chemistry by Matthias Otto...
This new edition contains 10 percent more worked examples as well as the addition of modern chemometric developments, such as support vector machines, wavelet transformations and multi-way analysis. With its inclusion of statistics, fuzzy theory, databases, and quality assurance, this remains the textbook with the broadest coverage, and retains such proven features as additional information provided in the margin, a glossary of terms plus an overview of suitable chemometric software. While ideal for students of chemistry, pharmacy, biochemistry and ecology, this is equally useful for scientists in industry and research institutes.
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Est. Packaging Dimensions: Length: 9.45" Width: 6.69" Height: 0.71" Weight: 1.46 lbs.
Release Date Apr 20, 2007
ISBN 3527314180 ISBN13 9783527314188
Availability 81 units. Availability accurate as of May 26, 2017 01:43.
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More About Matthias Otto
Matthias Otto is Professor of Analytical Chemistry at the TU Bergakademie Freiberg in Germany. He was born in Dresden (Germany) and did all his studies at the University of Leipzig. In 1984 he moved to Freiberg (Germany) as a lecturer and was appointed full Professor there in 1987. Since that time he has taught almost all aspects of Analytical Chemistry mainly within the curricula of chemistry, applied sciences and geoecology and organizes courses in basic and advanced chemometrics. He is author and editor of successful textbooks in analytical chemistry.
Matthias Otto currently resides in Freiberg. Matthias Otto has an academic affiliation as follows - TU Bergakademie Freiberg TU Bergakademie Freiberg, Germany TU Bergakad.
Reviews - What do customers think about Chemometrics: Statistics and Computer Application in Analytical Chemistry?
Informative but broad Mar 14, 2000
An informative book that covers a wide range of topics in chemometrics. About a third of the book deals with statistics, giving a good review to signal processing, ANOVA, t-tests, etc. For someone that wanted a book dealing only with chemometrics, it is disappointing to find a big portion of the book dedicated to basic statistics. A lot of topics are covered but not all in much detail. For example, there are 3 pages on SIMCA, 4 pages on PCR and PLS. There are more details when you get into the sections on neural networks and fuzzy theory. The examples are OK but not always easy to follow if you are not familiar with a particular method because steps are skipped. This book is a great overview of chemometrics-useful to refresh memories or get new ideas for data treatment- but needs to be supplemented with additional resources to learn more any one particular method. Fortunately the author includes a "general reading" section at the end of each chapter which provides references for books with more details.