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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2010-01-01
|
| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC2811744?pdf=render |