PDF Ebook Chemometrics: Statistics and Computer Application in Analytical Chemistry, by Matthias Otto
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Chemometrics: Statistics and Computer Application in Analytical Chemistry, by Matthias Otto
PDF Ebook Chemometrics: Statistics and Computer Application in Analytical Chemistry, by Matthias Otto
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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.
- Sales Rank: #3082538 in Books
- Brand: Brand: Wiley-VCH
- Published on: 2007-04-09
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x .70" w x 6.70" l, 1.44 pounds
- Binding: Paperback
- 343 pages
- Used Book in Good Condition
Review
"It is an excellent educational text and reference book for all interested in chemometrics and is a useful and valuable addition to any analyst's bookshelf." (Reviews, May 2009)
"Not only written for chemometrics courses within the chemistry curriculum, but also for students of pharmacy, biochemistry and ecology." (International Journal of Environmental and Analytical Chemistry, 2008)
From reviews of the prior edition:
"...I am sure that I will confidently hand this book out to analytical chemists who stop by for guidance." (Technometrics)
"...I have a favorable opinion of the text and would be prepared to use it as a primary reference..." (Microchemical Journal)
From the Back Cover
Among the textbooks for chemometrics, this is the one with the broadest coverage. Now 10 percent worked examples have been added. Modern chemometric developments such as support vector machines, wavelet transformations or multi-way analysis are now included.
From reviews of the prior edition:
"...I am sure that I will confidently hand this book out to analytical chemists who stop by for guidance." (Technometrics)
"...I have a favorable opinion of the text and would be prepared to use it as a primary reference..." (Microchemical Journal)
About the Author
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.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Seems to have a good amount of information
By TheChemist
Seems to have a good amount of information; however, it can be a little hard to understand at times. When I was new to chemometrics it confused me a good amount, especially with my limitied stats/math background. Now after being in the field for a little bit, it is a good book to refer back to
26 of 26 people found the following review helpful.
Informative but broad
By A Customer
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.
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