Experimental Design: A Chemometric Approach - A Chemometric Approach

Introduces the fundamentals of experimental design. This book discusses the effects of different experimental designs and different models on the variance-covariance matrix and on the analysis of variance. It includes applications and topics such as confidence bands, rotatability, and confounding.

List of contents

1. System Theory. 2. Response Surfaces. 3. Basic Statistics. 4. One Experiment. 5. Two Experiments. 6. Hypothesis Testing. 7. The Variance-Covariance Matrix. 8. Three Experiments. 9. Analysis of Variance (ANOVA) for Linear Models. 10. An Example of Regression Analysis on Existing Data. 11. A Ten-Experiment Example. 12. Approximating a Region of a Multifactor Response Surface. 13. Confidence Intervals for Full Second-Order Polynomial Models. 14. Factorial-Based Designs. 15. Additional Multifactor Concepts and Experimental Designs. Appendix A. Matrix Algebra. Appendix B. Critical Values of t. Appendix C. Critical Values of F, &agr;=0.05. Subject Index.

Report

"...is definitely an excellent summary of state-of-the-art ideas in experimental design. ...a welcome addition to the libraries of research-active chemometricians and represents new material of substantial interest to the specialist." --Analytica Chimica Acta

"...it was difficult to see how it could be improved, but they have managed it! It would be wrong to think that this is a book just for college students. It is not - experienced experimenters, data analysts and statisticians can benefit from the perspectives of design taken by Deming and Morgan." --Trends in Analytical Chemistry

Product details

• Authors: S. N. Deming, S. N. Morgan Deming, S.N. Deming, S.n. (Department of Chemistry Deming, Stanley N. Deming, DEMING S N MORGAN S L, S. L. Morgan, S.L. Morgan, Stephen L. Morgan
• Publisher: ELSEVIER SCIENCE BV
• Languages: English
• Product format: Hardback
• Released: 01.06.1993
• EAN: 9780444891112
• ISBN: 978-0-444-89111-2
• No. of pages: 436
• Series: Data Handling in Science and T; Data Handling in Science and T; Data Handling in Science and Technology
• Subjects: Natural sciences, medicine, IT, technology > Chemistry > Theoretical chemistry; SCIENCE / Life Sciences / Biology, SCIENCE / Life Sciences / Biochemistry, SCIENCE / Chemistry / Organic, SCIENCE / Chemistry / Analytic, SCIENCE / Chemistry / Physical & Theoretical, biochemistry, Materials science, Physical Chemistry, Analytical Chemistry, TECHNOLOGY & ENGINEERING / Materials Science / General, Chemical biology