A Course on Small Area Estimation and Mixed Models : Methods, Theory and Applications in R - Statistics for Social and Behavioral Sciences

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:	9783030637569
Publisher:	Springer International Publishing
Imprint:	Springer
Published date:	13 Mar 2021
Language:	English
Number of pages:	599
Weight:	1130g
Height:	165mm
Width:	242mm
Spine width:	36mm

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