Practical Guide To Chemometrics

“Chemometrics is an interdisciplinary field that combines statistics, mathematical methods, computer science and analytical chemistry to solve multivariate problems of data analysis. … this book is a reliable source of useful information for all students, professionals, and researchers involved in analyzing scientific data.” — John F. Kennedy, Agnieszka Kaczmarek, Chembiotech Laboratories, Institute of Research and Development, University of Birmingham Research Park, UK, in International Journal of Biological Macromolecules, No.41, 2007 “… 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. … this book uses application-oriented examples to illustrate how chemometrics techniques can be applied to complex scenarios with multiple and dynamic variables. … Numerous worked examples using MATLAB® code are offered, to illustrate how easily these techniques can be adapted to various experimental scenarios. … 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… It also includes expanded material on normal distributions, sampling theory, signal processing, and digital filtering. Each chapter includes a summary, solutions to problems, recommended reading, and key references for the applications and methods introduced. … 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. In summary, the aim of the book is to illustrate chemometric methods through practical examples in a style that makes the material accessible to a broad audience of non-experts. ” — J Albaigés, Editor in Chief, Department of Environment Chemistry CID-CSIC, Barcelona, Spain, in International Journal Of Environmental Analytical Chemistry, Vol. 86, 2006 “… offers an accessible introduction to application oriented-multivariate methods of data analysis and procedures that are highly beneficial to solving a variety of problems suing analytical chemistry and statistics.” The book “builds on fundamental concepts to reach advanced topics in chemometrics”. … in the 520 pages of text there is likely to be an answer to your chemometrics question. As a single book this does well to cover so much ground. I certainly recommend it for any library or laboratory bookshelf.” — D. Brynn Hibbert, School of Chemistry, University of New South Wales, Sydney, Australia, in Chemometrics and Intelligent Laboratory Systems, March 2007

• Introduction to Chemometrics. Statistical Evaluation of Data. Sampling Theory, Distribution Functions, and the Multivariate Normal Distribution. Principal Component Analysis. Calibration. Robust Calibration. Kinetic Modeling of Multivariate Measurements with Nonlinear Regression. Response-Surface Modeling and Experimental Design. Classification and Pattern Recognition. Signal Processing and Digital Filtering. Multivariate Curve Resolution. Three-Way Calibration with Hyphenated Data. Future Trends in Chemometrics.Index