Practical Data Analysis in Chemistry
Marcel Maeder, The University of Newcastle;
Yorck-Michael Neuhold, The University of Newcastle
Elsevier Science, 2007
ISBN: 978-0-444-53054-7;
Language: English
Written for post-graduate students, researchers, and industrial chemists interested in data analysis and software development, this book illustrates different aspects of theory applicable to data analysis using MATLAB. Core chapters cover the theory for modeling of chemical processes, an introduction to linear and non-linear least squares fitting, and methods for model-free data analysis.
-
MATLAB is used to solve numerous examples throughout the book. Optimization Toolbox and Symbolic Math Toolbox are also briefly discussed. In addition, a set of MATLAB M-files is available on a CD bound in the book.
