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A Course on Small Area Estimation and Mixed Models : Methods, Theory and Applications in R / Domingo Morales ... [et al.]
A Course on Small Area Estimation and Mixed Models : Methods, Theory and Applications in R / Domingo Morales ... [et al.]
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xx, 599 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020]
62P20 - Applications of statistics to economics [MSC 2020]
62P25 - Applications of statistics to social sciences [MSC 2020]
62D05 - Sampling theory, sample surveys [MSC 2020]
Soggetto non controllato Best linear unbiased prediction
Design-based estimation
Empirical best prediction
Estimation of socioeconomic indicators
Generalized linear mixed model
Labor markets surveys
Linear Models
Linear mixed models
Living conditions surveys
Mean squared error estimation
Nested error regression models
Prediction Theory
R code
R packages for SAE
Small area estimation
Survey Methodology
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0274507
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
A Course on Small Area Estimation and Mixed Models : Methods, Theory and Applications in R / Domingo Morales ... [et al.]
A Course on Small Area Estimation and Mixed Models : Methods, Theory and Applications in R / Domingo Morales ... [et al.]
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xx, 599 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62D05 - Sampling theory, sample surveys [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020]
62P20 - Applications of statistics to economics [MSC 2020]
62P25 - Applications of statistics to social sciences [MSC 2020]
Soggetto non controllato Best linear unbiased predictors
Design-based estimation
Empirical best prediction
Estimation of socioeconomic indicators
Generalized linear mixed model
Labor markets surveys
Linear Models
Linear mixed models
Living conditions surveys
Mean squared error estimation
Nested error regression models
Prediction Theory
R code
R packages for SAE
Small area estimation
Survey Methodology
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00274507
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Linear and Generalized Linear Mixed Models and Their Applications / Jiming Jiang, Thuan Nguyen
Linear and Generalized Linear Mixed Models and Their Applications / Jiming Jiang, Thuan Nguyen
Autore Jiang, Jiming
Edizione [2. ed]
Pubbl/distr/stampa New York, : Springer, 2021
Descrizione fisica xiv, 343 p. : ill. ; 24 cm
Altri autori (Persone) Nguyen, Thuan
Soggetto topico 62-XX - Statistics [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020]
62J12 - Generalized linear models (logistic models) [MSC 2020]
Soggetto non controllato Data analysis
Generalized linear mixed models
Linear mixed models
Linear optimization
Mathematical statistics
Mixed model prediction
Model selection
Public Health
Random effects
Regression analysis
Restricted maximum likelihood
Small area estimation
Variance components
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0275537
Jiang, Jiming  
New York, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Linear and Generalized Linear Mixed Models and Their Applications / Jiming Jiang, Thuan Nguyen
Linear and Generalized Linear Mixed Models and Their Applications / Jiming Jiang, Thuan Nguyen
Autore Jiang, Jiming
Edizione [2. ed]
Pubbl/distr/stampa New York, : Springer, 2021
Descrizione fisica xiv, 343 p. : ill. ; 24 cm
Altri autori (Persone) Nguyen, Thuan
Soggetto topico 62-XX - Statistics [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020]
62J12 - Generalized linear models (logistic models) [MSC 2020]
Soggetto non controllato Data analysis
Generalized linear mixed models
Linear mixed models
Linear optimization
Mathematical statistics
Mixed model prediction
Model selection
Public Health
Random effects
Regression analysis
Restricted maximum likelihood
Small area estimation
Variance components
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00275537
Jiang, Jiming  
New York, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui