A Course on Small Area Estimation and Mixed Models Methods Theory and Applications in R 1st Edition Domingo Morales María Dolores Esteban Agustín Pérez Tomáš Hobza – Ebook PDF Instant Download/Delivery, ISBN: 9783030637576, 3030637573
Product details:
- ISBN 10:3030637573
- ISBN 13:9783030637576
- Author: Domingo Morales, María Dolores Esteban, Agustín Pérez, Tomáš Hobza
A Course on Small Area Estimation and Mixed Models
Methods, Theory and Applications in R
Table contents:
1. Small Area Estimation
2. Design-Based Direct Estimation
3. Design-Based Indirect Estimation
4. Prediction Theory
5. Linear Models
6. Linear Mixed Models
7. Nested Error Regression Models
8. EBLUPs Under Nested Error Regression Models
9. Mean Squared Error of EBLUPs
10. EBPs Under Nested Error Regression Models
11. EBLUPs Under Two-Fold Nested Error Regression Models
12. EBPs Under Two-Fold Nested Error Regression Models
13. Random Regression Coefficient Models
14. EBPs Under Unit-Level Logit Mixed Models
15. EBPs Under Unit-Level Two-Fold Logit Mixed Models
16. Fay–Herriot Models
17. Area-Level Temporal Linear Mixed Models
18. Area-Level Spatio-Temporal Linear Mixed Models
19. Area-Level Bivariate Linear Mixed Models
20. Area-Level Poisson Mixed Models
21. Area-Level Temporal Poisson Mixed Models
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