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Course on Small Area Estimation and Mixed Models

Methods, Theory and Applications in R

Language EnglishEnglish
Book Paperback
Book Course on Small Area Estimation and Mixed Models Domingo Morales
Libristo code: 38720592
Publishers Springer Nature Switzerland AG, March 2022
This advanced textbook explores small area estimation techniques, covers the underlying mathematical... Full description
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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.

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About the book

Full name Course on Small Area Estimation and Mixed Models
Language English
Binding Book - Paperback
Date of issue 2022
Number of pages 599
EAN 9783030637590
Libristo code 38720592
Weight 934
Dimensions 236 x 157 x 36
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