Abstract
Abstract The 31st Morris Hansen Lecture gave a broad overview of some fundamental issues regarding the roles of statistical models in surveys, with an emphasis on a method of model selection known as the fence. This discussion provides some general lecture remarks and expands on the possible applicability of the fence methods in small area estimation. Unit-level and area-level small area estimation modeling illustrations are provided. A general variable selection framework for small area estimation is presented, along with recent application studies and ideas for expansion to include the fence methods.
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