Practical Guide To Chemometrics

Offers an introduction to application-oriented multivariate methods of data analysis and procedures for solving a variety of problems using analytical chemistry and statistics. This work features chapters on principal component analysis, self-modeling curve resolution, and multi-way analysis methods.