Advanced Tools for Design and Analysis of Experiments
Non-standard and optimal designs for complicated, real-world problems
In this course for intermediate to advanced users, you'll learn how to:
- Use Stat-Ease software's optimal (custom) design options
- Implement split-plot designs for hard-to-change inputs
- Impose multilinear constraints that restrict your experimental region to a feasible space
- Explore innovative design types to fit any scenario
Through expert instruction and hands-on practice, you'll master advanced techniques to tackle sophisticated challenges and maximize the impact of your experimentation.
Courses are held via Zoom, and attendees will need a copy of Stat-Ease software to participate in the hands-on activities.
All modules are $295 per person ($95 for academics).
Discounted rates apply when registering for more than one course.
Optimal Design content
- Using optimal designs (theory & examples)
- Case studies for optimal response surface designs
- Case studies for complex RSM and mixture designs
- Recap and next steps
or
or plenty of past experience running DOEs.
<br>