Date of Award
Doctor of Philosophy
Stratification is a common tool in survey sampling to reduce variance of estimates. Currently in the literature, there is very little work done in multivariate stratification - that is to stratify by multiple variables. We wish to stratify using multiple variables as a survey produces estimates for multiple variables. We focus on modernizing an agricultural survey that uses an area frame conducted by the National Agricultural Statistics Service. We first examine improving the stratification by automating the process then we extend to the multivariate case. Finally, we discuss model-based stratification for minimizing anticipated variance of estimates.
Stephanie Ann Zimmer
Zimmer, Stephanie Ann, "Stratification for area frame surveys with multiple estimation goals" (2018). Graduate Theses and Dissertations. 16905.