A0223
Title: Tackling the overabundance of options in survey estimation
Authors: Kelly McConville - Harvard University (United States) [presenting]
Abstract: With the increased availability of non-survey data and the plethora of exciting, new estimators, survey practitioners may start feeling paralyzed by all these choices. How should we combine the survey and non-survey data? Should we use a model- or design-based approach? Bayesian or frequentist? Do we borrow strength outside the domain or leverage more auxiliary data within the domain? If borrowing from outside, what similar domains should we utilize? We will tackle these questions using examples from the US Forest Inventory and Analysis Program, and, in a true statistical fashion, we will find that the answers vary depending on the context.
