Wei Zheng : Efficient Crossover Designs and Limit Theories for Sample Covariances of Long-Memory Linear Processes

Posted by , part of the Statistics and Data Science Seminar.

At

Jan. 15, 2010, 2 p.m.

In

SEO 612

Abstract

In crossover designs, it suffices to consider a linear model with effects of subjects, periods, direct and first-order carryover effects of treatments in most applications. We allowed the subject effects to be random, and thus included the fixed subject effects model as a special case. Efficient designs are proposed under this more flexible model. We also studied statistical properties and methods of constructions of these designs. For the remaining few minutes, I will talk about asymptotic behavior of sample autocovariances of long-memory linear processes. Also, some of my future interests will be addressed at the end.