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Practical Data Analysis in Chemistry

Practical Data Analysis in Chemistry

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.

Companion software available

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.



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Marcel Maeder, The University of Newcastle
Yorck-Michael Neuhold, The University of Newcastle

Elsevier Science, 2007

ISBN: 978-0-444-53054-7
Language: English