03585nam 2200565 450 991048498020332120230421105057.03-030-63757-310.1007/978-3-030-63757-6(CKB)4100000011797533(DE-He213)978-3-030-63757-6(MiAaPQ)EBC6516223(Au-PeEL)EBL6516223(OCoLC)1242026524(PPN)254719856(EXLCZ)99410000001179753320211009d2021 uy 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierA course on small area estimation and mixed models methods, theory and applications in R /Domingo Morales [and three others]1st ed. 2021.Cham, Switzerland :Springer,[2021]©20211 online resource (XX, 599 p. 373 illus., 10 illus. in color.)Statistics for Social and Behavioral Sciences3-030-63756-5 1 Small Area Estimation -- 2 Design-based Direct Estimation -- 3 Design-based Indirect Estimation -- 4 Prediction Theory -- 5 Linear Models -- 6 Linear Mixed Models -- 7 Nested Error Regression Models -- 8 EBLUPs under Nested Error Regression Models -- 9 Mean Squared Error of EBLUPs -- 10 EBPs under Nested Error Regression Models -- 11 EBLUPs under Two-fold Nested Error Regression Models -- 12 EBPs under Two-fold Nested Error Regression Models -- 13 Random Regression Coefficient Models -- 14 EBPs under Unit-level Logit Mixed Models -- 15 EBPs under Unit-level Two-fold Logit Mixed Models -- 16 Fay-Herriot Models -- 17 Area-level Temporal Linear Mixed Models -- 18 Area-level Spatio-temporal Linear Mixed Models -- 19 Area-level Bivariate Linear Mixed Models -- 20 Area-level Poisson Mixed Models -- 21 Area-level Temporal Poisson Mixed Models -- A Some Useful Formulas -- Index.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. .Statistics for social and behavioral sciences.Small area statisticsR (Computer program language)Estadística matemàticathubR (Llenguatge de programació)thubLlibres electrònicsthubSmall area statistics.R (Computer program language)Estadística matemàticaR (Llenguatge de programació)519.52Morales Domingo854068MiAaPQMiAaPQMiAaPQBOOK9910484980203321A course on small area estimation and mixed models1907149UNINA