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Applied Multiple Imputation : Advantages, Pitfalls, New Developments and Applications in R / Kristian Kleinke ... [et al.]
| Applied Multiple Imputation : Advantages, Pitfalls, New Developments and Applications in R / Kristian Kleinke ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xi, 292 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62D10 - Missing data [MSC 2020] |
| Soggetto non controllato |
Conditional modeling
Consequences of misspecification Incompletely observed data sets Joint modeling Missing data Missing values Multiple imputation Quality diagnostics R packages, norm pan and mice Statistical Methods Statistical inference |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248712 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Applied Multiple Imputation : Advantages, Pitfalls, New Developments and Applications in R / Kristian Kleinke ... [et al.]
| Applied Multiple Imputation : Advantages, Pitfalls, New Developments and Applications in R / Kristian Kleinke ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xi, 292 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62D10 - Missing data [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Conditional modeling
Consequences of misspecification Incompletely observed data sets Joint modeling Missing data Missing values Multiple imputation Quality diagnostics R packages, norm pan and mice Statistical Methods Statistical inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248712 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
How Data Quality Affects our Understanding of the Earnings Distribution / Reza Che Daniels
| How Data Quality Affects our Understanding of the Earnings Distribution / Reza Che Daniels |
| Autore | Daniels, Reza Che |
| Pubbl/distr/stampa | Singapore, : Springer, 2022 |
| Descrizione fisica | xx, 114 p. : ill. ; 24 cm |
| Soggetto non controllato |
Estimating and Organizing Microeconomic Data
Income distribution Methodology for Collecting Multiple imputation Response Propensity Models Survey methods Total Survey Error |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0278405 |
Daniels, Reza Che
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| Singapore, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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How Data Quality Affects our Understanding of the Earnings Distribution / Reza Che Daniels
| How Data Quality Affects our Understanding of the Earnings Distribution / Reza Che Daniels |
| Autore | Daniels, Reza Che |
| Pubbl/distr/stampa | Singapore, : Springer, 2022 |
| Descrizione fisica | xx, 114 p. : ill. ; 24 cm |
| Soggetto topico |
01-XX - History and biography [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020] 62-XX - Statistics [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] |
| Soggetto non controllato |
Estimating and Organizing Microeconomic Data
Income distribution Methodology for Collecting Multiple imputation Response Propensity Models Survey methods Total Survey Error |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278405 |
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Daniels, Reza Che
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| Singapore, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Visualization and Imputation of Missing Values : With Applications in R / Matthias Templ
| Visualization and Imputation of Missing Values : With Applications in R / Matthias Templ |
| Autore | Templ, Matthias |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xxii, 462 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F35 - Robustness and adaptive procedures (parametric inference) [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] |
| Soggetto non controllato |
Deep learning based imputation methods
Imputation methods for compositional data Imputation of missing data Imputation quality Incomplete data Missing data Multiple imputation Pre-analysis of data R package Robust imputation methods Simulation Simulation designs for imputation quality evaluation Visualization of missing values |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00279094 |
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Templ, Matthias
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| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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