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.