
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
 Definition
 Terminology
 Uses
 Methods

2. Assumptions
 Assumptions

3. Design
 Definition
 Importance
 Design Principles
 Optimal Designs
 Assessment

4. Analysis
 Modeling Steps
 Model Selection
 Model Fitting
 Model Validation
 Model Improvement

5. Interpretation & Use
 Prediction
 Calibration
 Optimization

6. Case Studies
 Load Cell Output
 Alaska Pipeline
 Ultrasonic Reference Block
 Thermal Expansion of Copper

Detailed Table of Contents: Process Modeling

References: Process Modeling

Appendix: Some Useful Functions for Process Modeling
