A Course on Small Area Estimation and Mixed Models

Methods, Theory and Applications in R

Domingo Morales author María Dolores Esteban author Agustín Pérez author Tomáš Hobza author

Format:Paperback

Publisher:Springer Nature Switzerland AG

Published:14th Mar '22

Should be back in stock very soon

This paperback is available in another edition too:

A Course on Small Area Estimation and Mixed Models cover

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.

 

ISBN: 9783030637590

Dimensions: unknown

Weight: unknown

599 pages

1st ed. 2021