4，过程建模.pdf

4. Process Modeling
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 2. Assumptions
1. Definition 1. Assumptions
2. Terminology
3. Uses
4. Methods
3. Design 4. Analysis
1. Definition 1. Modeling Steps
2. Importance 2. Model Selection
3. Design Principles 3. Model Fitting
4. Optimal Designs 4. Model Validation
5. Assessment 5. Model Improvement
5. Interpretation & Use 6. Case Studies
1. Prediction 1. Load Cell Output
2. Calibration 2. Alaska Pipeline
3. Optimization 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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4. Process Modeling
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4. Process Modeling
4. Process Modeling - Detailed Table of
Contents [4.]
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 to Process Modeling [.]
1. What is process modeling? [.]
2. What terminology do statisticians use to describe process models? [.]
3. What are process models used for? [.]
1. Estima