Process Optimization

A Statistical Approach

Authors:

ISBN: 978-0-387-71434-9 (Print) 978-0-387-71435-6 (Online)

Table of contents (18 chapters)

  1. Front Matter

    Pages i-xviii

  2. Preliminaries

    1. Front Matter

      Pages 2-2

    2. No Access

      Book Chapter

      Pages 3-25

      An Overview of Empirical Process Optimization

  3. Elements of Response Surface Methods

    1. Front Matter

      Pages 28-28

    2. No Access

      Book Chapter

      Pages 29-43

      Optimization Of First Order Models

    3. No Access

      Book Chapter

      Pages 45-83

      Experimental Designs For First Order Models

    4. No Access

      Book Chapter

      Pages 85-107

      Analysis and Optimization of Second Order Models

    5. No Access

      Book Chapter

      Pages 109-156

      Experimental Designs for Second Order Models

  4. Statistical Inference in Process Optimization

    1. Front Matter

      Pages 158-158

    2. No Access

      Book Chapter

      Pages 159-192

      Statistical Inference in First Order RSM Optimization

    3. No Access

      Book Chapter

      Pages 193-208

      Statistical Inference in Second Order RSM Optimization

    4. No Access

      Book Chapter

      Pages 209-219

      Bias Vs. Variance

  5. Robust Parameter Design and Robust Optimization

    1. Front Matter

      Pages 222-222

    2. No Access

      Book Chapter

      Pages 223-278

      Robust Parameter Design

    3. No Access

      Book Chapter

      Pages 279-287

      Robust Optimization

  6. Bayesian Approaches in Process Optimization

    1. Front Matter

      Pages 290-290

    2. No Access

      Book Chapter

      Pages 291-319

      Introduction to Bayesian Inference

    3. No Access

      Book Chapter

      Pages 321-364

      Bayesian Methods for Process Optimization

  7. Introduction to Optimization of Simulation and Computer Models

    1. Front Matter

      Pages 366-366

    2. No Access

      Book Chapter

      Pages 367-378

      Simulation Optimization

    3. No Access

      Book Chapter

      Pages 379-395

      Kriging and Computer Experiments

  8. Appendices

    1. Front Matter

      Pages 398-398

    2. No Access

      Book Chapter

      Pages 399-412

      Basics of Linear Regression

    3. No Access

      Book Chapter

      Pages 413-427

      Analysis of Variance

    4. No Access

      Book Chapter

      Pages 429-441

      Matrix Algebra and Optimization Results

    5. No Access

      Book Chapter

      Pages 443-444

      Some Probability Results Used in Bayesian Inference

  9. Back Matter

    Pages 445-459