WITHDRAWN: Optimizing Sample Coordination with Multiple Measures of Size

Music City Center 

We consider model-based optimal sampling designs for multipurpose surveys with multiple measures of size when coordinating samples among multiple surveys. The problem is motivated by crop surveys conducted by the United States National Agricultural Statistics Service (NASS), in which estimates of interest include planted and harvested acres of different crops as well as crop yields, and historical acreages are available on the frame as measures of size. Further, there is a need to coordinate three disjoint samples to minimize respondent burden. We use a subframe design to coordinate samples paired with convex optimization to find the inclusion probabilities that minimize expected sample size subject to target precision requirements for different study variables, along with other inequality constraints to select disjoint samples for multiple surveys. The precision requirements are computed as anticipated coefficients of variation under models relating study variables to frame measures of size.

Sample Coodination

Optimal Sample Designs

Balanced Sampling

Establishment Surveys 

Survey Research Methods Section