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Process Modeling

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
  1. Definition
  2. Terminology
  3. Uses
  4. Methods
2. Assumptions
  1. Assumptions
3. Design
  1. Definition
  2. Importance
  3. Design Principles
  4. Optimal Designs
  5. Assessment
4. Analysis
  1. Modeling Steps
  2. Model Selection
  3. Model Fitting
  4. Model Validation
  5. Model Improvement
5. Interpretation & Use
  1. Prediction
  2. Calibration
  3. Optimization
6. Case Studies
  1. Load Cell Output
  2. Alaska Pipeline
  3. Ultrasonic Reference Block
  4. Thermal Expansion of Copper
Detailed Table of Contents: Process Modeling
References: Process Modeling
Appendix: Some Useful Functions for Process Modeling
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