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JMP 11 Design of Experiments Guide by SAS Institute

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Chapter 3  
Building Custom Designs
The Basic Steps
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The use of statistical methods in industry is increasing. Arguably, the most cost-beneficial of these methods for quality and productivity improvement is statistical design of experiments. A trial-and-error search for the vital few factors that most affect quality is costly and time-consuming. The purpose of experimental design is to characterize, predict, and then improve the behavior of any system or process. Designed experiments are a cost-effective way to accomplish these goals.
JMP’s custom designer is the recommended way to describe your process and create a design that works for your ...

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