Chemometrics: Statistics and Computer Applications in Analytical Chemistry / Edition 1

Chemometrics: Statistics and Computer Applications in Analytical Chemistry / Edition 1

by Matthias Otto, Matthias Tu Bergakademie Freiberg
     
 

ISBN-10: 352729628X

ISBN-13: 9783527296286

Pub. Date: 01/01/1999

Publisher: Wiley

Chemometrics - easy to understand!
Chemometrics are becoming more and more important for the evaluation of analytical data. Work in a modern lab is almost unthinkable without the use of statistical methods and computer-based data analysis. This new textbook is especially suited to give you a comprehensive overview of all areas of chemometrics.
Based on the most

Overview

Chemometrics - easy to understand!
Chemometrics are becoming more and more important for the evaluation of analytical data. Work in a modern lab is almost unthinkable without the use of statistical methods and computer-based data analysis. This new textbook is especially suited to give you a comprehensive overview of all areas of chemometrics.
Based on the most important fundamentals of statistics, the author provides a modern approach to signal processing, planning and optimizing experiments, pattern recognition and classification as well as modeling simple and nonlinear relationships. Analytical databases are covered as well as applications of artificial intelligence, fuzzy theory, neuronal networks, or genetic algorithms. Numerous worked examples and helpful comments in the margin make reading and understanding easy.
Students of chemistry, pharmacy, biochemistry, or ecology will find everything they need to know about chemometrics. Also scientists in industry and research will find this book a useful introduction.
Matthias Otto has offered courses on chemometrices for many years and has held lectures at leading universities.

Product Details

ISBN-13:
9783527296286
Publisher:
Wiley
Publication date:
01/01/1999
Edition description:
Older Edition
Pages:
330
Product dimensions:
6.67(w) x 9.70(h) x 0.61(d)

Table of Contents

What is Chemometrics
Basic Statistics
Signal Processing and Time Series Analysis
Experimental Design and Optimization
Pattern Recognition
Modelling
Analytical Data Bases
Knowledge Processing and Soft-Computing
Quality Assurance and Good Laboratory Practice

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