The classical design (factorial design, response surface design, etc.) may fail to meet our requirements due to an irregular design space, involving categorical variables, a nonstandard model, or unusual requirements of sample size. We will introduce how to use JMP to tackle these design challenges within a unified framework and make best use of your design budget. The topics covered in this course include: computer generated design, augmenting an existing design, and design from a candidate set.
Note: The prerequisite for this course is that the audience has taken Statistics in Research (STAT 5616) or has attended or watched a LISA short course on design of experiments: http://www.lisa.stat.vt.edu/?q=node/3374
Explore JMP Capabilities in Design of Experiments from LISA on Vimeo.
Before you show up:
Please complete the attached pre-course assignment.