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A Course on Small Area Estimation and Mixed Models Methods Theory and Applications in R 1st Edition by Domingo Morales, María Dolores Esteban, Agustín Pérez, Tomáš Hobza 9783030637576 3030637573

Name: A Course on Small Area Estimation and Mixed Models Methods Theory and Applications in R 1st Edition by Domingo Morales, María Dolores Esteban, Agustín Pérez, Tomáš Hobza 9783030637576 3030637573
SKU: EB-47284510
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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 Digital Instant Download

Author(s): Domingo Morales María Dolores Esteban Agustín Pérez Tomáš Hobza

Edition: 1

File Details: PDF, 6.17 MB

Year: 2021

Language: english

SKU: EB-47284510 Category: Science (General) - Science of Science Tags: 3030637573, 9783030637576, Area Estimation, Mixed Models Methods, Small Area

Description

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

This advanced textbook explores small area estimation techniques, covers the underlying mathematical and statistical theory and offers hands-on support with their implementation. It presents the theory in a rigorous way and compares and contrasts various statistical methodologies, helping readers understand how to develop new methodologies for small area estimation. It also includes numerous sample applications of small area estimation techniques. The underlying R code is provided in the text and applied to four datasets that mimic data from labor markets and living conditions surveys, where the socioeconomic indicators include the small area estimation of total unemployment, unemployment rates, average annual household incomes and poverty indicators. Given its scope, the book will be useful for master and PhD students, and for official and other applied statisticians.

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