Learn how to use Stat-Ease 360 software to build and analyze designs for data with no natural variation, such as computer experiments. In many cases, experimental data is the result of a deterministic simulation rather than a lab experiment. These may be referred to as computer experiments. Such situations need special experimental designs and data… Weiterlesen »Space-Filling Designs and Gaussian Models for Computer Experiments
Discover what design of experiments has to offer, and how to get started. Step up your design of experiments (DOE) know-how via this essential briefing on this multifactor-testing tool. A quick demo lays out what makes statistical DOE so effective for accelerating R&D. Discover how: • Traditional one-factor-at-a-time scientific methods fall flat • DOE will… Weiterlesen »DOE Crash Course for Experimenters
Learn what DOE can do for you while using this best-in-class software. Richard Williams, Stat-Ease Consultant, will detail what design of experiments (DOE) can do for you when catalyzed with Design-Expert's world-class statistical tools. Learn about factorial design, the core tool for DOE, followed by a peek at response surface methods (RSM) for process optimization… Weiterlesen »New-User Intro to Design-Expert® Software
Discover the differences between these sizing tools and how to apply them to make the most of your experiments. Learn how power calculations protect against factorial design being too small to detect important effects. Power, however, is not the appropriate tool to size mixture and response surface method (RSM) designs. To properly determine how many… Weiterlesen »How Many Runs Do I Need? Using Power and Precision to Size DOE’s
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