Informative but broad
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.
About Chemometrics: Statistics and Computer Application in Analytical Chemistry detail
- Amazon Sales Rank: #749706 in Books
- Published on: 2007-04-20
- Original language: English
- Number of items: 1
- Binding: Paperback
- 343 pages
Chemometrics: Statistics and Computer Application in Analytical Chemistry Description
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.
