Structural identifiability for a class of non-linear compartmental systems using linear/non-linear splitting and symbolic computation-Reference-Cited by-同舟云学术

Structural identifiability for a class of non-linear compartmental systems using linear/non-linear splitting and symbolic computation

Published:2003-05 Issue:1 Volume:183 Page:1-14
ISSN:0025-5564
Container-title:Mathematical Biosciences
language:en
Short-container-title:Mathematical Biosciences

Author:

Chapman Michael J.,Godfrey Keith R.,Chappell Michael J.,Evans Neil D.

Publisher

Elsevier BV

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modelling and Simulation,General Medicine,Statistics and Probability

Reference19 articles.

1. Compartmental Models and their Application;Godfrey,1983

2. On structural identifiability;Bellman;Math. Biosci.,1970

3. Identifiability of model parameters;Godfrey,1987

4. Identifiability and indistinguishability of nonlinear pharmacokinetic models;Godfrey;J. Pharmacokinet. Biopharm.,1994

5. Global identifiability of linear compartmental models – a computer algebra algorithm;Audoly;IEEE Trans. Biomed. Eng.,1998

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