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 multivariate statistics with R / Daniel Zelterman
| Applied multivariate statistics with R / Daniel Zelterman |
| Autore | Zelterman, Daniel |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xix, 463 p. : ill. ; 24 cm |
| Soggetto non controllato |
Clustering
Factor methods Graphical displays Linear algebra Linear regression Longitudinal studies Matrix algebra biostatistics Normal distribution R software Statistical inference for biology Time series models |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0276877 |
Zelterman, Daniel
|
||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied multivariate statistics with R / Daniel Zelterman
| Applied multivariate statistics with R / Daniel Zelterman |
| Autore | Zelterman, Daniel |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xix, 463 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Clustering
Factor methods Graphical displays Linear algebra Linear regression Longitudinal studies Matrix algebra biostatistics Normal distributions R software Statistical inference Time series models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00276877 |
|
Zelterman, Daniel
|
||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied multivariate statistics with R / Daniel Zelterman
| Applied multivariate statistics with R / Daniel Zelterman |
| Autore | Zelterman, Daniel |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XVI, 393 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Clustering
Factor methods Graphical displays Linear algebra Linear regression Matrix algebra biostatistics Normal distribution R software Statistical inference for biology Systems biology Time series models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113335 |
|
Zelterman, Daniel
|
||
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied multivariate statistics with R / Daniel Zelterman
| Applied multivariate statistics with R / Daniel Zelterman |
| Autore | Zelterman, Daniel |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XVI, 393 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Clustering
Factor methods Graphical displays Linear algebra Linear regression Matrix algebra biostatistics Normal distributions R software Statistical inference Systems biology Time series models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays, linear algebra, univariate, bivariate and multivariate normal distributions, factor methods, linear regression, discrimination and classification, clustering, time series models, and additional methods. Zelterman uses practical examples from diverse disciplines to welcome readers from a variety of academic specialties. Those with backgrounds in statistics will learn new methods while they review more familiar topics. Chapters include exercises, real data sets, and R implementations. The data are interesting, real-world topics, particularly from health and biology-related contexts. As an example of the approach, the text examines a sample from the Behavior Risk Factor Surveillance System, discussing both the shortcomings of the data as well as useful analyses. The text avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary. |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00113335 |
|
Zelterman, Daniel
|
||
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||