Textbook in PDF format

This book discusses chemometric methods for spectroscopy analysis including NIR, MIR, Raman, NMR, and LIBS, from the perspective of practical applied spectroscopy. It covers all aspects of chemometrics associated with analytical spectroscopy, including representative sample selection algorithm, outlier detection algorithm, model updating and maintenance algorithm and strategy and calibration performance evaluation methods.To provide a systematic and comprehensive overview the latest progress of chemometric methods including recent scientific research and practical applications are presented. In addition the book also highlights the improvement of classical algorithms and the extension of common strategies. It is therefore useful as a reference book for researchers engaged in analytical spectroscopy technology, chemometrics, analytical instruments and other related fields.
Preface
Chemometric Methods in Analytical Spectroscopy Technology
Modern Spectral Analysis Techniques
Basis of Matrices and Mathematical Statistics
Spectral Preprocessing Methods
Wavelength Selection Methods
Spectral Dimensionality Reduction Methods
Linear Calibration Methods
Nonlinear Calibration Methods
Method of Selecting Calibration Samples
Detection Methods for Outlier Samples
Maintenance and Update of Calibration Model
Pattern Recognition Methods
Model Evaluation
Methods for Improving Prediction Ability of Model
Multi-spectral Fusion Technology
Multi-way Resolution and Calibration Methods
Calibration Transfer Methods
Deep Learning Methods
Chemometrics Software and Toolkits
Discussion of Some Issues