ABSTRACT
The limited coverage of data analysis and statistics offered in most undergraduate and graduate analytical chemistry courses is usually focused on practical aspects of univariate methods. Drawing in real-world examples, Practical Guide to Chemometrics, Second Edition offers an accessible introduction to application-oriented multivariate meth
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
