Small Area Estimation and Microsimulation Modeling
- 521pages
- 19 heures de lecture
Focusing on small area estimation methodologies, this book provides a comprehensive overview of various theories and applications. It delves into both direct methods and indirect statistical approaches, such as empirical best linear unbiased prediction and Bayesian estimation techniques. The text examines the advantages and limitations of each methodology, making it a valuable resource for understanding the complexities of small area estimation in statistical practice.
