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The goal for this chapter is to present the background and specific analysis techniques needed to construct a statistical model that describes a particular scientific or engineering process. The types of models discussed in this chapter are limited to those based on an explicit mathematical function. These types of models can be used for prediction of process outputs, for calibration, or for process optimization. | |||
1. Introduction |
2. Assumptions |
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3. Design |
4. Analysis |
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5. Interpretation & Use |
6. Case Studies |
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Detailed Table of Contents: Process Modeling | |||
References: Process Modeling | |||
Appendix: Some Useful Functions for Process Modeling |