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  • Search: subject:"Non-linear predictive growth model"
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Data quality 1 Data quantity 1 Monte Carlo analysis 1 Non-linear predictive growth model 1 Parameter uncertainty 1
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Bernaerts, K. 1 Geeraerd, A.H. 1 Nicolaı̈, B.M. 1 Poschet, F. 1 Scheerlinck, N. 1 Van Impe, J.F. 1
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Mathematics and Computers in Simulation (MATCOM) 1
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Sensitivity analysis of microbial growth parameter distributions with respect to data quality and quantity by using Monte Carlo analysis
Poschet, F.; Bernaerts, K.; Geeraerd, A.H.; Scheerlinck, N. - In: Mathematics and Computers in Simulation (MATCOM) 65 (2004) 3, pp. 231-243
Nowadays, most of the mathematical models used in predictive microbiology are deterministic, i.e. their model output is only one single value for the microbial load at a certain time instant. For more advanced exploitation of predictive microbiology in the context of hazard analysis and critical...
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