Product Description
The limited coverage of data analysis and statistics offered in most
undergraduate and graduate analytical chemistry courses is usually
focused on practical aspects of univariate methods. Drawing in
real-world examples, Practical Guide to Chemometrics, Second Edition
offers an accessible introduction to application-oriented multivariate
methods of data analysis and procedures that are highly beneficial to
solving a variety of problems using analytical chemistry and statistics.
Rather than overshadowing the concepts with theoretical background,
this book uses application-oriented examples to illustrate how
chemometrics techniques can be applied to complex scenarios with
multiple and dynamic variables. The book presents a diverse selection of
topics that include sampling, modeling, experimental design,
calibration, pattern recognition, data analysis techniques, algorithms,
and error. This second edition has been completely revised to feature
new chapters on principal component analysis, self-modeling curve
resolution, and multi-way analysis methods. It includes expanded
material on normal distributions, sampling theory, signal processing,
and digital filtering.
Embracing the growing role of chemometrics in some of the latest research trends, such as quantitative biology, bioinformatics, and proteomics, this book also identifies several areas for future development and applications. Practical Guide to Chemometrics, Second Edition continues to offer a reliable source of useful information in a style that is accessible to all levels of students, professionals, and researchers involved in analyzing scientific data.
Embracing the growing role of chemometrics in some of the latest research trends, such as quantitative biology, bioinformatics, and proteomics, this book also identifies several areas for future development and applications. Practical Guide to Chemometrics, Second Edition continues to offer a reliable source of useful information in a style that is accessible to all levels of students, professionals, and researchers involved in analyzing scientific data.
Product Details
- Hardcover: 552 pages
- Publisher: CRC Press; 2 edition (April 16, 2006)
- Language: English
- ISBN-10: 1574447831
- ISBN-13: 978-1574447835
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