Parameter Identifiability and Redundancy: Theoretical Considerations

BACKGROUND: Models for complex biological systems may involve a large number of parameters. It may well be that some of these parameters cannot be derived from observed data via regression techniques. Such parameters are said to be unidentifiable, the remaining parameters being identifiable. Closely...

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Detalles Bibliográficos
Autores principales: Little, Mark P., Heidenreich, Wolfgang F., Li, Guangquan
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2811744/
https://www.ncbi.nlm.nih.gov/pubmed/20111720
http://dx.doi.org/10.1371/journal.pone.0008915

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2811744/
https://www.ncbi.nlm.nih.gov/pubmed/20111720
http://dx.doi.org/10.1371/journal.pone.0008915

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