Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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 | ||
| ||
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 | ||
| ||
Chemometrics with R : Multivariate Data Analysis in the Natural and Life Sciences / Ron Wehrens
| Chemometrics with R : Multivariate Data Analysis in the Natural and Life Sciences / Ron Wehrens |
| Autore | Wehrens, Ron |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Berlin, : Springer, 2020 |
| Descrizione fisica | xvi, 308 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| Soggetto non controllato |
Boootstrap
Clustering Linear regression Missing values Multidimensional Scaling Multivariate curve resolution Multivariate statistics Neural networks Non-Linear regression Partial least squares regression Principal component analysis R software Ssupport vector machines Statistical process control Time warping Variable Selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248480 |
Wehrens, Ron
|
||
| Berlin, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Chemometrics with R : Multivariate Data Analysis in the Natural and Life Sciences / Ron Wehrens
| Chemometrics with R : Multivariate Data Analysis in the Natural and Life Sciences / Ron Wehrens |
| Autore | Wehrens, Ron |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Berlin, : Springer, 2020 |
| Descrizione fisica | xvi, 308 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Boootstrap
Clustering Linear regression Missing values Multidimensional Scaling Multivariate curve resolution Multivariate statistics Neural networks Non-Linear regression Partial least squares regression Principal component analysis R software Ssupport vector machines Statistical process control Time warping Variable Selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248480 |
|
Wehrens, Ron
|
||
| Berlin, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||