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Comprehensive Chemometrics
Chemical and Biochemical Data Analysis
- 1st Edition - March 9, 2009
- Editors: Steven Brown, Roma Tauler, Beata Walczak, Steven Brown
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 4 - 5 2 7 0 2 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 4 - 5 2 7 0 1 - 1
Designed to serve as the first point of reference on the subject, Comprehensive Chemometrics presents an integrated summary of the present state of chemical and biochemic… Read more
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Request a sales quoteDesigned to serve as the first point of reference on the subject, Comprehensive Chemometrics presents an integrated summary of the present state of chemical and biochemical data analysis and manipulation. The work covers all major areas ranging from statistics to data acquisition, analysis, and applications.
This major reference work provides broad-ranging, validated summaries of the major topics in chemometrics—with chapter introductions and advanced reviews for each area. The level of material is appropriate for graduate students as well as active researchers seeking a ready reference on obtaining and analyzing scientific data.
- Features the contributions of leading experts from 21 countries, under the guidance of the Editors-in-Chief and a team of specialist Section Editors: L. Buydens; D. Coomans; P. Van Espen; A. De Juan; J.H. Kalivas; B.K. Lavine; R. Leardi; R. Phan-Tan-Luu; L.A. Sarabia; and J. Trygg
- Examines the merits and limitations of each technique through practical examples and extensive visuals: 368 tables and more than 1,300 illustrations (750 in full color)
- Integrates coverage of chemical and biological methods, allowing readers to consider and test a range of techniques
- Consists of 2,200 pages and more than 90 review articles, making it the most comprehensive work of its kind
- Offers print and online purchase options, the latter of which delivers flexibility, accessibility, and usability through the search tools and other productivity-enhancing features of ScienceDirect
Statistics
Experimental Design
Optimization
Data preprocessing
Linear soft-modeling
Unsupervised Data Mining
Linear Regression Modeling
Non-linear Regression
Classification
Feature Selection
Multivariate Robust Techniques
Applications
- No. of pages: 2896
- Language: English
- Edition: 1
- Published: March 9, 2009
- Imprint: Elsevier
- Hardback ISBN: 9780444527028
- eBook ISBN: 9780444527011
SB
Steven Brown
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Roma Tauler
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Beata Walczak
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