Mixed-Effects Models and Small Area Estimation

Discover the essential insights of Mixed-Effects Models and Small Area Estimation by Shonosuke Sugasawa, published by Springer Verlag in 2023. This informative paperback edition spans 121 pages and serves as a comprehensive introduction to mixed-effects models and small area estimation techniques.

In this first edition, Sugasawa expertly covers standard mixed-effects models commonly utilized in small area estimation, including the renowned Fay-Herriot model and the nested error regression model. Whether you're a researcher, statistician, or student, this book offers valuable knowledge and practical applications for understanding these advanced statistical methods. Enhance your expertise in mixed-effects models today!