COLLOQUIUM
DEPARTMENT OF MATHEMATICS AND STATISTICS
OAKLAND UNIVERSITY
ROCHESTER, MICHIGAN 48309
Min Yang
University of Illinois at Chicago
On optimal design of experiment
Abstract
Designing experiments is an integral part of the scientific process, both for discovery and verification. Resources are almost always scarce, and judicious use of the limited resources is essential. Identifying efficient and optimal designs for data collection is therefore paramount. In this talk, I will first give two simple examples demonstrating the set up and the impact of efficient designs. Then I will review the classical tools of studying optimal designs. The main purpose of this talk is to introduce a new strategy. With the new strategy, many well-known results in the optimal design literature can be unified and extended. The new strategy has four advantages over current tools: (i) it can be applied to many forms of nonlinear models; to continuous or discrete data; to data with homogeneous or nonhomogeneous errors; (ii) it can be applied to any design region; (iii) it can be applied to multiple-stage optimal design and (iv) it can be easily implemented.
Tuesday, January 22, 2013
3:00– 4:00 P.M.
372 Science and Engineering Building
(Refreshments at 2:30-3:00 PM in the kitchen area adjacent to 368 SEB)