Experiments: planning, analysis, and optimization
by Wu, Chien-Fu
"Experimentation is one of the most common activities in which all people engage. In this thoroughly updated Second Edition, Experiments presents the most modern, up-to-date treatment in the design and analysis of experiment topics currently available. The authors - highly recognized researchers in the field - introduce some of the newest discoveries and shed further light on existing ones. Drawing from their impressive roster of industrial clients, the authors modernize accepted methodologies …
Read More ↓Title Statements
- Full title :Experiments : planning, analysis, and optimization / C.F. Jeff Wu, Michael S. Hamada.
Summary
"Experimentation is one of the most common activities in which all people engage. In this thoroughly updated Second Edition, Experiments presents the most modern, up-to-date treatment in the design and analysis of experiment topics currently available. The authors - highly recognized researchers in the field - introduce some of the newest discoveries and shed further light on existing ones. Drawing from their impressive roster of industrial clients, the authors modernize accepted methodologies while refining many cutting-edge topics in a single, easily accessible source suitable for upper-undergraduate or beginning-graduate students, practicing engineers, and statisticians."--Publisher's website.
Read More ↓Edition Statements
- Publication Date:©2009.
- Edition:2nd ed
Publication Statements
- Publisher(s):Wiley
- Place of Publication:Hoboken, N.J
- Language:eng
- Publication Date:©2009.
The Physical Object
- Description:xxix, 716 pages : : illustrations ; : 25 cm.
Edition Identifiers
- ISBN:9780471699460, 0471699462
- oclc:ocn276140904
- LC Classification:QA279
- Dewey Decimal:519.5/7
Table of Contents
1. Basic Concepts for Experimental Design and Introductory Regression Analysis -- 2. Experiments with a Single Factor -- 3. Experiments with More Than One Factor -- 4. Full Factorial Experiments at Two Levels -- 5. Fractional Factorial Experiments at Two Levels -- 6. Full Factorial and Fractional Factorial Experiments at Three Levels -- 7. Other Design and Analysis Techniques for Experiments at More Than Two Levels -- 8. Nonregular Designs : Construction and Properties -- 9. Experiments with Complex Aliasing -- 10. Response Surface Methodology -- 11. Introduction to Robust Parameter Design -- 12. Robust Parameter Design for Signal--Response Systems -- 13. Experiments for Improving Reliability -- 14. Analysis of Experiments with Nonnormal Data -- Appendix A : Upper Tail Probabilities of the Standard Normal Distribution, [actual symbol not reproducible] -- Appendix B : Upper Percentiles of the t Distribution -- Appendix C : Upper Percentiles of the x² Distribution -- Appendix D : Upper Percentiles of the F Distribution -- Appendix E : Upper Percentiles of the Studentized Range Distribution -- Appendix F : Upper Percentiles of the Studentized Maximum Modulus Distribution -- Appendix …
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