The Library
Structural identifiability analysis of some highly structured families of statespace models using differential algebra
Tools
UNSPECIFIED (2004) Structural identifiability analysis of some highly structured families of statespace models using differential algebra. JOURNAL OF MATHEMATICAL BIOLOGY, 49 (5). pp. 433-454. doi:10.1007/S00285-003-0261-3 ISSN 0303-6812.
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: http://dx.doi.org/10.1007/s00285-003-0261-3
Abstract
In this paper we identify biologically relevant families of models whose structural identifiability analysis could not be performed with available techniques directly. The models considered come from both the immunological and epidemiological literature.
Item Type: | Journal Article | ||||
---|---|---|---|---|---|
Subjects: | Q Science > QH Natural history > QH301 Biology | ||||
Journal or Publication Title: | JOURNAL OF MATHEMATICAL BIOLOGY | ||||
Publisher: | SPRINGER | ||||
ISSN: | 0303-6812 | ||||
Official Date: | November 2004 | ||||
Dates: |
|
||||
Volume: | 49 | ||||
Number: | 5 | ||||
Number of Pages: | 22 | ||||
Page Range: | pp. 433-454 | ||||
DOI: | 10.1007/S00285-003-0261-3 | ||||
Publication Status: | Published |
Data sourced from Thomson Reuters' Web of Knowledge
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |