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A Course on Small Area Estimation and Mixed Models: Methods, Theory and Applications in R

A Course on Small Area Estimation and Mixed Models: Methods, Theory and Applications in R

Hardcover

Series: Statistics for Social and Behavioral Sciences

ApplicationsGeneral SociologyProbability & Statistics

ISBN10: 3030637565
ISBN13: 9783030637569
Publisher: Springer Nature
Published: Mar 13 2021
Pages: 599
Weight: 2.29
Height: 1.31 Width: 6.14 Depth: 9.21
Language: English
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.

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