Small Area Estimation and Microsimulation Modeling

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Focusing on small area estimation methodologies, this book provides a comprehensive overview of various theories and applications, detailing both direct and indirect statistical approaches. It explores methods such as empirical best linear unbiased prediction, empirical Bayes, and hierarchical Bayes estimation, highlighting their advantages and limitations. This resource is essential for understanding the complexities and practicalities of small area estimation in statistical analysis.