Chemometrics Tutorials

Computers in the laboratory. 1. Scientific word processing (R.E. Dessy). 2. The LIMS infrastructure (R.D. McDowall, J.C. Pearce and G.S. Murkitt). 3. Scientific programming with GKS: advantages and disadvantages (E. Flerackers). Expert systems. 4. Dendral and Meta-Dendral - the myth and the reality (N.A.B. Gray). On Gray's interpretation of the Dendral project and programs: myth or mythunderstanding? (B.G. Buchanan, E.A. Feigenbaum and J. Lederberg). Response to comments by Buchanan, Feigenbaum and Lederberg (N.A.B. Gray). 5. Expert systems in synthesis planning: a user's view of the LHASA program (T.V. Lee). 6. PROLOG for chemists. Part 1 (G.J. Kleywegt, H.-J. Luinge and B.-J.P. Schuman). 7. PROLOG for chemists. Part 2 (G.J. Kleywegt, H.-J. Luinge and B.-J.P. Schuman). Experimental design and optimization. 8. Practical exploratory experimental designs (E. Morgan, K.W. Burton and P.A. Church). 9. Optimisation via Simplex. Part 1: Background, definitions and a simple application (K.W.C. Burton and G. Nickless). 10. Chemometrics and method development in high-performance liquid chromatography. Part 1: Introduction (J.C. Berridge). 11. Chemometrics and method development in high-performance liquid chromatography. Part. 2: Sequential experimental designs (J.C. Berridge). Signal processing, time series and continuous processes. 12. Fourier transforms: use, theory and applications to spectroscopic and related data (R.G. Brereton). 13. Dispersion vs. absorption (DISPA): a magic circle for spectroscopic line shape analysis (A.G. Marshall). 14. Sampling theory (G. Kateman). Multivariate and related methods. 15. Principal component analysis (S. Wold, K. Esbensen and P. Geladi). 16. Multivariate data analysis: its methods (M. Mellinger). 17. Correspondence analysis: the method and its application (M. Mellinger). 18. Spectral map analysis: factorial analysis of contrasts, especially from log ratios (P.J. Lewi). 19. Similarities and differences among multivariate display techniques illustrated by Belgian cancer mortality distribution data (A. Thielemans, P.J. Lewi and D.L. Massart). 20. Some fundamental criteria for multivariate correlation methodologies (O.H.J. Christie). 21. Mixture analysis of spectral data by multivariate methods (W. Windig). 22. Interpretation of direct latent-variable projection methods and their aims and use in the analysis of multicomponent spectroscopic and chromatographic data (O.M. Kvalheim). 23. Soft modelling and chemosystematics (N.B. Vogt). 24. Multivariate analysis in geology and geochemistry: an introduction (H.J.B. Birks). 25. Multivariate analysis in geoscience: fads, fallacies and the future (R.A. Reyment). 26. Interpretation of lithogeochemistry using correspondence analysis (M. Mellinger). 27. Multivariate analysis of stratigraphic data in geology: a review (H.J.B. Birks). Fuzzy methods. 28. Fuzzy theory explained (M. Otto). Author Index. Subject Index.