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 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Computational Reconstruction of Missing Data in Biological Research / Feng Bao |
Autore | Bao, Feng |
Pubbl/distr/stampa | Singapore, : Springer, 2021 |
Descrizione fisica | xvii, 105 p. : ill. ; 24 cm |
Soggetto topico |
92C37 - Cell biology [MSC 2020]
92C55 - Biomedical imaging and signal processing [MSC 2020] 62-XX - Statistics [MSC 2020] 92D10 - Genetics and epigenetics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] 62D10 - Missing data [MSC 2020] |
Soggetto non controllato |
Biological data analysis
Data imputation Imbalance learning Machine learning Single Cell Analysis |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0275440 |
Bao, Feng
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Singapore, : Springer, 2021 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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