Modelling of Experimental Infections
Gennady Bocharov (),
Vitaly Volpert,
Burkhard Ludewig and
Andreas Meyerhans
Additional contact information
Gennady Bocharov: Russian Academy of Sciences, Marchuk Institute of Numerical Mathematics
Vitaly Volpert: Centre National de la Recherche Scientifique (CNRS), Institut Camille Jordan, UMR 5208 CNRS
Burkhard Ludewig: Kantonsspital St. Gallen, Institute of Immunobiology
Andreas Meyerhans: ICREA and Universitat Pompeu Fabra, Parc de Recerca Biomedica Barcelona
Chapter Chapter 4 in Mathematical Immunology of Virus Infections, 2018, pp 97-152 from Springer
Abstract:
Abstract This chapter aims to give a clear idea of how mathematical analysis for experimental systems could help in the process of data assimilation, parameter estimation and hypothesis testing.
Date: 2018
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-72317-4_4
Ordering information: This item can be ordered from
http://www.springer.com/9783319723174
DOI: 10.1007/978-3-319-72317-4_4
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().