Regression analysis, cost data

The investment cost of each distillation column is expressed as a nonlinear fixed charge cost and the following expressions result from performing regression analysis on the simulation data taken at a number of operating pressures Paules (1990). 

Biomedical research at the beginning of the century usually involved relatively few measurements on many subjects. While measurement was expensive, the cost for experimental subjects was often low. The methods for data analysis developed during the same period - r-tests, analysis of variance, multiple regression - were optimized for this situation with many subjects and few measurements. 

CONTENTS 1. Chemometrics and the Analytical Process. 2. Precision and Accuracy. 3. Evaluation of Precision and Accuracy. Comparison of Two Procedures. 4. Evaluation of Sources of Variation in Data. Analysis of Variance. 5. Calibration. 6. Reliability and Drift. 7. Sensitivity and Limit of Detection. 8. Selectivity and Specificity. 9. Information. 10. Costs. 11. The Time Constant. 12. Signals and Data. 13. Regression Methods. 14. Correlation Methods. 15. Signal Processing. 16. Response Surfaces and Models. 17. Exploration of Response Surfaces. 18. Optimization of Analytical Chemical Methods. 19. Optimization of Chromatographic Methods. 20. The Multivariate Approach. 21. Principal Components and Factor Analysis. 22. Clustering Techniques. 23. Supervised Pattern Recognition. 24. Decisions in the Analytical Laboratory. 

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