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- W2526275305 abstract "Abstract In this study, the methodology of optimal experiment design for parameter estimation is exploited in the field of predictive microbiology. Optimal estimates for the Square Root model parameters-modeling microbial growth in the sub-optimal growth temperature range-are obtained by practical implementation of optimal (3-step) temperature input profiles. Due to the model non-linearity, the effectiveness of the experiment design will be determined by the selection of nominal parameter values mimicking the true parameter vector p*. Convergence to p* is commonly not guaranteed after a first optimal experiment design. Here, the latter problem is overcome by an iterative design procedure." @default.
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- W2526275305 date "2001-06-01" @default.
- W2526275305 modified "2023-09-23" @default.
- W2526275305 title "Iterative Optimal Experiment Design for Estimation of Microbial Growth Kinetics as Function of Temperature" @default.
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- W2526275305 doi "https://doi.org/10.1016/s1474-6670(17)34189-7" @default.
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