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 | ||
| 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 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Pseudo-populations : a basic concept in statistical surveys / Andreas Quatember
| Pseudo-populations : a basic concept in statistical surveys / Andreas Quatember |
| Autore | Quatember, Andreas |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | X, 138 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Dxx - Statistical sampling theory and related topics [MSC 2020] |
| Soggetto non controllato |
Bootstrap methods
Nonresponse Randomized Response Techniques Sampling theory Statistical Disclosure Control Survey Methodology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113268 |
Quatember, Andreas
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| [Cham], : Springer, 2015 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Pseudo-populations : a basic concept in statistical surveys / Andreas Quatember
| Pseudo-populations : a basic concept in statistical surveys / Andreas Quatember |
| Autore | Quatember, Andreas |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | X, 138 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Dxx - Statistical sampling theory and related topics [MSC 2020] |
| Soggetto non controllato |
Bootstrap methods
Nonresponse Randomized Response Techniques Sampling theory Statistical Disclosure Control Survey Methodology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00113268 |
Quatember, Andreas
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| [Cham], : Springer, 2015 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Sampling Theory and Practice / Changbao Wu, Mary E. Thompson
| Sampling Theory and Practice / Changbao Wu, Mary E. Thompson |
| Autore | Wu, Changbao |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xx, 365 p. : ill. ; 24 cm |
| Altri autori (Persone) | Thompson, Mary E. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62K05 - Optimal statistical designs [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] |
| Soggetto non controllato |
Basic Sampling Theory
Bayesian Inference Introduction to Survey Sampling Longitudinal Surveys Survey Methodology Survey Practice |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249748 |
Wu, Changbao
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| Cham, : Springer, 2020 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Sampling Theory and Practice / Changbao Wu, Mary E. Thompson
| Sampling Theory and Practice / Changbao Wu, Mary E. Thompson |
| Autore | Wu, Changbao |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xx, 365 p. : ill. ; 24 cm |
| Altri autori (Persone) | Thompson, Mary E. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62D05 - Sampling theory, sample surveys [MSC 2020] 62K05 - Optimal statistical designs [MSC 2020] |
| Soggetto non controllato |
Basic Sampling Theory
Bayesian Inference Longitudinal Surveys Survey Methodology Survey Practice Survey sampling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249748 |
Wu, Changbao
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| Cham, : Springer, 2020 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Survey Methodology and Missing Data : Tools and Techniques for Practitioners / Seppo Laaksonen
| Survey Methodology and Missing Data : Tools and Techniques for Practitioners / Seppo Laaksonen |
| Autore | Laaksonen, Seppo |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xii, 224 p. : ill. ; 24 cm |
| Soggetto topico |
62Dxx - Statistical sampling theory and related topics [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Data cleaning methods
Missingness Questionnaire design Sampling designs Statistical editing Statistical imputation Survey Methodology Survey data collection Weights |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0125022 |
Laaksonen, Seppo
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| Cham, : Springer, 2018 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Survey Methodology and Missing Data : Tools and Techniques for Practitioners / Seppo Laaksonen
| Survey Methodology and Missing Data : Tools and Techniques for Practitioners / Seppo Laaksonen |
| Autore | Laaksonen, Seppo |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xii, 224 p. : ill. ; 24 cm |
| Soggetto topico |
62Dxx - Statistical sampling theory and related topics [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Data cleaning methods
Missingness Questionnaire design Sampling designs Statistical editing Statistical imputation Survey Methodology Survey data collection Weights |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00125022 |
Laaksonen, Seppo
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| Cham, : Springer, 2018 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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