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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 | ||
| ||
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 | ||
| ||