Identifiability and Regression Analysis of Biological Systems Models : Statistical and Mathematical Foundations and R Scripts / Paola Lecca
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| Autore: |
Lecca, Paola
|
| Titolo: |
Identifiability and Regression Analysis of Biological Systems Models : Statistical and Mathematical Foundations and R Scripts / Paola Lecca
|
| Pubblicazione: | Cham, : Springer, 2020 |
| Titolo uniforme: | Identifiability and Regression Analysis of Biological Systems Models |
| Descrizione fisica: | x, 82 p. : ill. ; 24 cm |
| Soggetto topico: | 37N25 - Dynamical systems in biology [MSC 2020] |
| 62-XX - Statistics [MSC 2020] | |
| 62J05 - Linear regression; mixed models [MSC 2020] | |
| 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] | |
| 92C45 - Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) [MSC 2020] | |
| Soggetto non controllato: | Factor analysis |
| Latent class models | |
| Model identifiability | |
| Network inference | |
| Non-linear dynamics | |
| Parameter inference | |
| Regression analysis | |
| Self-starting models | |
| Stiff dynamics | |
| Systems biology | |
| Titolo autorizzato: | Identifiability and Regression Analysis of Biological Systems Models |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | VAN00249342 |
| Lo trovi qui: | Univ. Vanvitelli |
| Localizzazioni e accesso elettronico | http://doi.org/10.1007/978-3-030-41255-5 |
| Opac: | Controlla la disponibilità qui |
Serie:
SpringerBriefs in statistics Berlin [etc.] . -Springer , 2011-