A Course on Small Area Estimation and Mixed Models: Methods, Theory and Applications in R (1st ed. 2021) (Statistics for Social and Behavioral Sciences)

By: Domingo Morales and María Dolores Esteban and Agustín Pérez and Tomáš Hobza

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Synopsis: 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.

Book Quality:: Publisher Quality
ISBN-13:: 9783030637576
Related ISBNs:: 9783030637569
Publisher:: Springer International Publishing
Date of Addition:: 06/12/21
Copyrighted By:: Springer
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Business and Finance, Mathematics and Statistics, Sociology
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.