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A Course on Small Area Estimation and Mixed Models
Methods, Theory and Applications in R
Domingo Morales, María Dolores Esteban, Agustín Pérez, Tomás Hobza
84,45 €
+ 168 points
Format
Description
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.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 599
- Langue:
- Anglais
- Collection :
Caractéristiques
- EAN:
- 9783030637590
- Date de parution :
- 14-03-22
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 156 mm x 234 mm
- Poids :
- 857 g
