"Everything should be made as simple as possible, but not simpler." - Albert Einstein

Seminar Announcement

Variance estimation for nondifferentiable survey estimators

Jianqiang (Jay) Wang, PhD, Department of Statistics, Colorado State University.

Monday, December 1, 2008

4:00 pm 223 Weber

ABSTRACT

Many survey estimators involve nondifferentiable functions defined at the population level. Some complex estimators are nondifferentiable functions with respect to estimated quantities, and others are implicitly defined through estimating equations. In both cases, a direct Taylor linearization is not applicable, but we can assume the limiting function is smooth and do asymptotic expansion on the limits. We will talk about design-based analysis of both both types of estimators and explain both analytic and replication variance estimation for nondifferentiable survey estimators.