- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Moualeu-Ngangue, Dany Pascal; Roeblitz, Susanna; Ehrig, Rainald; Deuflhard, Peter: Parameter Identification in a Tuberculosis Model for Cameroon. In: PloS ONE 10 (2015), Nr. 4, UNSP e0120607. DOI: http://dx.doi.org/10.1371/journal.pone.0120607
- Ereignis
-
Veröffentlichung
- (wo)
-
Hannover
- (wer)
-
Gottfried Wilhelm Leibniz Universität Hannover
- (wann)
-
2015
- Ereignis
-
Veröffentlichung
- (wo)
-
Hannover
- (wer)
-
Technische Informationsbibliothek (TIB)
- (wann)
-
2015
- Urheber
- DOI
-
10.15488/275
- URN
-
urn:nbn:de:101:1-2020080806070729030933
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:44 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Moualeu-Ngangue, Dany Pascal
- Roeblitz, Susanna
- Ehrig, Rainald
- Deuflhard, Peter
- Gottfried Wilhelm Leibniz Universität Hannover
- Technische Informationsbibliothek (TIB)
Entstanden
- 2015
Ähnliche Objekte (12)
A mathematical tuberculosis model in Cameroon
A Mathematical Tuberculosis Model in Cameroon
Mycobacterium tuberculosis complex drug resistance pattern and identification of species causing tuberculosis in the West and Centre regions of Cameroon
Identification of material parameters in mechanical models
Profile of non-tuberculous mycobacteria amongst tuberculosis presumptive people in Cameroon
Identification of parameter correlations for parameter estimation in dynamic biological models
SMS reminders to improve adherence and cure of tuberculosis patients in Cameroon (TB-SMS Cameroon): a randomised controlled trial
Nonlinear model parameter identification for ice-induced vibrations
Identification of Parameters for the Middle Ear Model
Nonlocal fracture analysis - identification of material model parameters
Viscoplastic-Damage Model Parameter Identification via Bayesian Methods
Bifurcation analysis of a tuberculosis progression model for drug target identification
A mathematical tuberculosis model in Cameroon
A Mathematical Tuberculosis Model in Cameroon
Mycobacterium tuberculosis complex drug resistance pattern and identification of species causing tuberculosis in the West and Centre regions of Cameroon
Identification of material parameters in mechanical models
Profile of non-tuberculous mycobacteria amongst tuberculosis presumptive people in Cameroon
Identification of parameter correlations for parameter estimation in dynamic biological models
SMS reminders to improve adherence and cure of tuberculosis patients in Cameroon (TB-SMS Cameroon): a randomised controlled trial
Nonlinear model parameter identification for ice-induced vibrations
Identification of Parameters for the Middle Ear Model
Nonlocal fracture analysis - identification of material model parameters
Viscoplastic-Damage Model Parameter Identification via Bayesian Methods
Bifurcation analysis of a tuberculosis progression model for drug target identification
A mathematical tuberculosis model in Cameroon
A Mathematical Tuberculosis Model in Cameroon
Mycobacterium tuberculosis complex drug resistance pattern and identification of species causing tuberculosis in the West and Centre regions of Cameroon
Identification of material parameters in mechanical models
Profile of non-tuberculous mycobacteria amongst tuberculosis presumptive people in Cameroon
Identification of parameter correlations for parameter estimation in dynamic biological models
SMS reminders to improve adherence and cure of tuberculosis patients in Cameroon (TB-SMS Cameroon): a randomised controlled trial
Nonlinear model parameter identification for ice-induced vibrations
Identification of Parameters for the Middle Ear Model
Nonlocal fracture analysis - identification of material model parameters
Viscoplastic-Damage Model Parameter Identification via Bayesian Methods