STAT-EASE 360 Software
SE360 augments Design-Expert software with space-filling designs and Gaussian modeling for computer experiments,
plus integration with Python scripting for data analysts.
A better product. An improved process. Stat-Ease, armed with an expertise in design of experiments, has been helping people make breakthroughs since 1985. Find out how our new Stat-Ease 360 software, training, books, and consulting can help you improve your bottom line.
Make breakthrough improvements to your product and process with Stat-Ease 360. This “pro” version augments Design-Expert software with commanding features for advanced users. Capitalizing on the same streamlined workflow that makes Design-Expert best-in-class for design of experiments, technical professionals who are running computer experiments or want to implement Python scripting can now take advantage of all new functionality. Space-filling designs, Gaussian process models, Python scripting, and a new logistic classification node make Stat-Ease 360 a more powerful version of Design-Expert!
Stat-Ease 360 makes it incredibly easy to apply powerful multifactor testing tools. Give it a try to see what it can do for accelerating your research and making it a huge success. Download the Stat-Ease 360 feature sheet.
Make breakthrough improvements to your product and process with Design-Expert software. Screen for vital factors and components, characterize interactions and, ultimately, achieve optimal process settings and product recipes. Set flags and explore contours on interactive 2D graphs; then visualize the response surface from all angles with rotatable 3D plots. Finally, maximize desirability for all your responses simultaneously and overlay them to see the “sweet spot” meeting all specifications.
Design-Expert makes it incredibly easy to apply powerful multifactor testing tools. Give it a try to see what it can do for accelerating your research and making it a huge success. Download the DX13 Feature Sheet.
Create Python scripts that interact with Stat-Ease 360. Make use of the entire Python ecosystem to visualize, analyze, and make the most of your data.
Analyze deterministic responses such as those from computer experiments with Gaussian process models.
These designs have many desirable properties that make them ideal for computer experiments.
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