Chemometrics (Statistics and Computers in Analytical Chemistry)

Author: M. Otto
Publisher:
Publish Date: 2003-01-30
Features: This book comprehensively explains the basic knowledge and applications of chemometrics, covering both traditional topics such as statistical methods, smoothing and noise filtering, and regression calibration, as well as newly developed methods like genetic algorithms, artificial neural networks, and fuzzy theory. In the presentation of each topic, the author emphasizes the description of fundamental concepts and basic theories, accompanied by practical examples, while omitting or simplifying complex mathematical derivations. Additionally, the book includes numerous examples and exercises to facilitate readers' understanding and mastery.