On the practical identifiability of microbial growth models incorporating Michaelis-Menten type nonlinearities
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Publication:1167087
DOI10.1016/0025-5564(82)90061-XzbMath0489.92021MaRDI QIDQ1167087
Publication date: 1982
Published in: Mathematical Biosciences (Search for Journal in Brave)
Probabilistic models, generic numerical methods in probability and statistics (65C20) Sensitivity (robustness) (93B35) System identification (93B30) Population dynamics (general) (92D25)
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Cites Work
- Mathematical properties of compartment models with MichaelisMenten type elimination
- Procedures for parameter and state estimation of microbial growth process models
- System identifiability based on the power series expansion of the solution
- On parameter and structural identifiability: Nonunique observability/reconstructibility for identifiable systems, other ambiguities, and new definitions
