서지주요정보
A Course on Small Area Estimation and Mixed Models: Methods, Theory and Applications in R [electronic resource]
서명 / 저자 A Course on Small Area Estimation and Mixed Models [electronic resource] : Methods, Theory and Applications in R / by Domingo Morales, María Dolores Esteban, Agustín Pérez, Tomáš Hobza.
저자명 Morales, Domingo. author. aut http://id.loc.gov/vocabulary/relators/aut
Esteban, María Dolores. author. aut http://id.loc.gov/vocabulary/relators/aut ; Pérez, Agustín. author. aut http://id.loc.gov/vocabulary/relators/aut ; Hobza, Tomáš. author. aut http://id.loc.gov/vocabulary/relators/aut
단체명 SpringerLink (Online service)
발행사항 Cham : Springer International Publishing : Imprint: Springer, 2021.
Online Access https://doi.org/10.1007/978-3-030-63757-6 URL

서지기타정보

서지기타정보
청구기호 HA1-4737
판사항 1st ed. 2021.
형태사항 XX, 599 p. 373 illus., 10 illus. in color. online resource.
총서명 Statistics for Social and Behavioral Sciences, 2199-7365
언어 English
내용 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.
주제 Social sciences—Statistical methods.
Statistics .
Statistics—Computer programs.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Statistical Theory and Methods.
Statistical Software.
Statistics in Business, Management, Economics, Finance, Insurance.
보유판 및 특별호 저록 Springer Nature eBook
Printed edition: 9783030637569 Printed edition: 9783030637583 Printed edition: 9783030637590
ISBN 9783030637576
기타 표준번호 10.1007/978-3-030-63757-6
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