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The 2nd Edition of Statistics for Experimenters: Design, Innovation, and Discovery by George Box, J. Stuart Hunter, and William Hunter is substantially updated and larger with almost half of the material included having been rewritten with the goal of making sure that accessibility is better for users. The 2nd Edition has a more updated definitional pattern that breaks the topics into a more intuitive listing. There is more emphasis on the value of sequential experimentation, and a demonstration is provided of how multi-response problems can be solved via active and inert factor spaces. Robust product and process designs development is covered via split plots, along with simplified transformations using lambda plots. Other topics include Bayesian approaches, discussions of graphical NOVA, computer analysis of complex design, and experimentation via response service methods. New approaches to process control, forecasting, and times series are offered, along with more coverage of evolutionary process operations. The use of complex experimental arrangements, especially Plackett Burman designs and their analysis, is covered, along with making the best selections for follow-up of experimental runs.
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