LISA Statistics Short Course: Explore JMP Capabilities in Design of Experiments
LISA SHORT COURSES IN STATISTICS
LISA (Virginia Tech's Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. See www.lisa.stat.vt.edu/?q=short_courses for instructions on how to REGISTER and to learn more.
Summer 2012 Schedule:
June 11 & 18: Introduction to JMP;
June 21: Explore JMP Capabilities in Design of Experiments;
June 25: Structural Equation Modeling (SEM);
July 16: Designing Surveys and Interpreting the Results*;
July 17: Introduction to R, Part I;
July 19: Introduction to R, Part II;
July 23 & 26: Fixed Effects, Random Effects, and Correlated Data;
*This course will be held in Fralin Auditorium, all other courses are in 3060 Torgersen Hall.
Thursday, June 21;
Instructor: Liaosa Xu;
Title: Explore JMP Capabilities in Design of Experiments;
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
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