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Process Optimization A Statistical Approach /
PROCESS OPTIMIZATION: A Statistical Approach is a textbook for a course in experimental optimization techniques for industrial production processes and other "noisy" systems where the main emphasis is process optimization. The book can also be used as a reference text by Industrial, Qualit...
| Call Number: | Libro Electrónico |
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| Main Author: | |
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
New York, NY :
Springer US : Imprint: Springer,
2007.
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| Edition: | 1st ed. 2007. |
| Series: | International Series in Operations Research & Management Science,
105 |
| Subjects: | |
| Online Access: | Texto Completo |
Table of Contents:
- Preliminaries
- An Overview of Empirical Process Optimization
- Elements of Response Surface Methods
- Optimization Of First Order Models
- Experimental Designs For First Order Models
- Analysis and Optimization of Second Order Models
- Experimental Designs for Second Order Models
- Statistical Inference in Process Optimization
- Statistical Inference in First Order RSM Optimization
- Statistical Inference in Second Order RSM Optimization
- Bias Vs. Variance
- Robust Parameter Design and Robust Optimization
- Robust Parameter Design
- Robust Optimization
- Bayesian Approaches in Process Optimization
- to Bayesian Inference
- Bayesian Methods for Process Optimization
- to Optimization of Simulation and Computer Models
- Simulation Optimization
- Kriging and Computer Experiments
- Appendices
- Basics of Linear Regression
- Analysis of Variance
- Matrix Algebra and Optimization Results
- Some Probability Results Used in Bayesian Inference.