Structural identifiability and indistinguishability of compartmental models

The deterministic identifiability of models is only normally considered if a problem becomes apparent in the parameter identification stage of data analysis. If no problem is perceived then the analysis will continue. However, although the problem does not become apparent, the implications of ambigu...

Full description

Saved in:
Bibliographic Details
Published in:Expert opinion on drug metabolism & toxicology Vol. 5; no. 3; p. 295
Main Authors: Yates, James W T, Jones, R D Owen, Walker, Mike, Cheung, S Y Amy
Format: Journal Article
Language:English
Published: England 01-03-2009
Subjects:
Online Access:Get more information
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The deterministic identifiability of models is only normally considered if a problem becomes apparent in the parameter identification stage of data analysis. If no problem is perceived then the analysis will continue. However, although the problem does not become apparent, the implications of ambiguities in what is inferred from the data should be considered. This paper reviews some fundamentals with respect to model indistinguishability and parameter identifiability.
ISSN:1744-7607
DOI:10.1517/17425250902773426