The course introduces the students to the fundamental concepts of small area estimation. The course is organized to address basic concepts and challenges of small area estimation, how SAE methods can improve on direct estimation, and examples to demonstrate effective use of SAE methods in applications.

Prerequisites: An introductory applied statistics course that includes regression analysis and survey sampling.