Experimental Design: A Chemometric Approach

Experimental Design: A Chemometric Approach

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Podrobné informace

Now available is the second edition of a book which has been described as "...an exceptionally lucid, easy-to-read presentation... would be an excellent addition to the collection of every analytical chemist. I recommend it with great enthusiasm." (Analytical Chemistry) N.R. Draper reviewed the first edition in Publication of the International Statistical Institute "...discussion is careful, sensible, amicable, and modern and can be recommended for the intended readership." The scope of the first edition has been revised, enlarged and expanded. Approximately 30% of the text is new. The book first introduces the reader to the fundamentals of experimental design. Systems theory, response surface concepts, and basic statistics serve as a basis for the further development of matrix least squares and hypothesis testing. The effects of different experimental designs and different models on the variance-covariance matrix and on the analysis of variance (ANOVA) are extensively discussed. Applications and advanced topics (such as confidence bands, rotatability, and confounding) complete the text. Numerous worked examples are presented. The clear and practical approach adopted by the authors makes the book applicable to a wide audience. It will appeal particularly to those with a practical need (scientists, engineers, managers, research workers) who have completed their formal education but who still need to know efficient ways of carrying out experiments. It will also be an ideal text for advanced undergraduate and graduate students following courses in chemometrics, data acquisition and treatment, and design of experiments.
EAN 9780444891112
ISBN 0444891110
Typ produktu Pevná vazba
Vydavatel Elsevier Science & Technology
Datum vydání 4. června 1993
Stránky 436
Jazyk English
Rozměry 164 x 244 x 29
Země United Kingdom
Autoři Deming, S.N. (Department of Chemistry, University of Houston, Houston, TX, USA); Morgan, S.L. (Department of Chemistry, University of South Carolina, Columbia, SC, USA)
Edice 2 ed
Série Data Handling in Science and Technology
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