An accessible introduction to indirect estimation methods, both traditional and model-based. Readers will also find the latest methods for measuring the variability of the estimates as well as the techniques for model validation.

• Uses a basic area-level linear model to illustrate the methods
• Presents the various extensions including binary response data through generalized linear models and time series data through linear models that combine cross-sectional and time series features
• Provides recent applications of SAE including several in U.S. Federal programs
• Offers a comprehensive discussion of the design issues that impact SAE