Chemometrics Tutorials II
Published on 20. November 1992
Book
Paperback/Softback
322 pages
978-0-444-89858-6 (ISBN)
Description
The journal Chemometrics and Intelligent Laboratory Systems has a specific policy of publishing tutorial papers (i.e. articles aiming to discuss and illustrate the application of chemometric and other techniques) solicited from leading experts in the varied disciplines relating to this subject. This book comprises reprints of tutorials from Volumes 6-11 of this journal, covering the period from mid 1989 to late 1991. The authors of the papers include analytical, organic and environmental chemists, statisticians, pharmacologists, geologists, geochemists, computer scientists and biologists, which reflects the strong interdisciplinary communication. The papers have been reorganized into major themes, covering most of the main areas of chemometrics. This book is intended both as a personal reference text and as a useful background for courses in chemometrics and laboratory computing.
More details
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 230 mm
ISBN-13
978-0-444-89858-6 (9780444898586)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
Foreword. Software. 1. Teaching and Learning Chemometrics with MatLab (T.C. O'Haver). 2. Expert System Development Tools for Chemists (F.A. Settle, Jr., M.A. Pleva). 3. Spectral Databases (W.A. Warr). Signal Processing. 4. Specification and Estimation of Noisy Analytical Signals. Part I. Characterization, Time Invariant Filtering and Signal Approximation (H.C. Smit). 5. Specification and Estimation of Noisy Analytical Signals. Part II. Curve Fitting, Optimum Filtering and Uncertainty Determination (H.C. Smit). 6. Fast On-Line Digital Filtering (S.C. Rutan). Multivariate Methods. 7. Cluster Analysis (N. Bratchell). 8. Interpretation of Latent-Variable Regression Models (O.M. Kvalheim, T.V. Karstang). 9. Quantitative Structure-Activity Relationships ( QSAR ) (W.J. Dunn, III). 10. Analysis of Multi-Way ( Multi-Mode ) Data (P. Geladi). Factor Analysis. 11. Target Transformation Factor Analysis (P.K. Hopke). 12. An Introduction to Receptor Modeling (P.K. Hopke). 13. The Spectrum Reconstruction Problem. Use of Alternating Regression for Unexpected Spectral Components in Two-Dimensional Spectroscopies (E.J. Karjalainen). Statistics. 14. Analysis of Variance ( ANOVA ) (L. Stahle, S. Wold). 15. Multivariate Analysis of Variance ( MANOVA ) (L. Stahle, S. Wold). 16. The Validation of Measurement through Interlaboratory Studies (J. Mandel). 17. Regression and Calibration with Nonconstant Error Variance (M. Davidian, P.D. Haaland). 18. Interpolation and Estimation with Spatially Located Data Sets (D.E. Myers). Optimization. 19. Optimization Using the Modified Simplex Method (E. Morgan, K.W. Burton, G. Nickless). 20. Optimization Using the Super-Modified Simplex Method (E. Morgan, K.W. Burton, G. Nickless). Fractals. 21. Fractals in Chemistry (D.B. Hibbert). Author Index. Subject Index.