Statistical design--chemometrics

著者

    • Bruns, R. E.
    • Scarminio, I. S.
    • Barros Neto, B. de

書誌事項

Statistical design--chemometrics

R.E. Bruns, I.S. Scarminio, B. de Barros Neto

(Data handling in science and technology, v. 25)

Elsevier, 2006

1st ed

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注記

Bibliography: p. [385]-392

Includes index

内容説明・目次

内容説明

Statistical Design-Chemometrics is applicable to researchers and professionals who wish to perform experiments in chemometrics and carry out analysis of the data in the most efficient way possible. The language is clear, direct and oriented towards real applications. The book provides 106 exercises with answers to accompany the study of theoretical principles. Forty two cases studies with real data are presented showing designs and the complete statistical analyses for problems in the areas chromatography, electroanalytical and electrochemistry, calibration, polymers, gas adsorption, semiconductors, food technology, biotechnology, photochemistry, catalysis, detergents and ceramics. These studies serve as a guide that the reader can use to perform correct data analyses.

目次

1. How statistics can help 2. When the situation is normal 3. Changing everything at the same time 4. When there are many variables 5. Empirical model-building 6. Exploring the response surface 7. Mixtures modeling 8. Simplex optimization

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