Featuring a substantial revision, the Response Surface Methodology: Process and Product Optimization Using Designed Experiments 4th edition (PDF) presents updated coverage on the applications and underlying theory of response surface methodology (RSM). Providing the assumptions and conditions necessary to successfully apply RSM in modern applications, the latest new fourth edition covers classical and modern response surface designs in order to present a clear connection between the analyses and designs in RSM.
With multiple revised sections with new topics and expanded coverage, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 4th Edition includes:
- An extensive references section to help readers stay up-to-date with leading research in the field of RSM
- Additional coverage on topics such as experiments with computer models, definitive screening designs, and data measured with error
- Expanded integration of examples and experiments, which present up-to-date software applications, such as JMP®, SAS, and Design-Expert®, throughout
- Many updates on topics such as optimization techniques, multiple response optimization, optimal designs, methods for design evaluation, robust parameter design, computer-generated designs, and non-normal responses
An ideal PDF etextbook for grarduate and upper-undergraduate level courses in engineering, statistics, and chemical/physical sciences, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 4e PDF is also a useful reference for engineers and applied statisticians in disciplines such as process, quality, and chemistry.