Application of optimal experimental design concept to improve the estimation of model parameters in microbial thermal inactivation kinetics

MM Gil, FA Miller, CLM Silva, TRS Brandão - Journal of Food Engineering, 2014 - Elsevier
The estimation of model parameters with high precision is of major importance in
mathematical predictions. If a mathematical model is properly chosen and if the primary …

[PDF][PDF] Application of optimal experimental design concept to improve the estimation of model parameters in microbial thermal inactivation kinetics

MM Gil, FA Miller, CLM Silva… - Journal of Food …, 2014 - academia.edu
abstract The estimation of model parameters with high precision is of major importance in
mathematical predictions. If a mathematical model is properly chosen and if the primary …

Application of optimal experimental design concept to improve the estimation of model parameters in microbial thermal inactivation kinetics

MM Gil, FA Miller, CLM Silva, TRS Brandão - Journal of Food Engineering, 2014 - infona.pl
The estimation of model parameters with high precision is of major importance in
mathematical predictions. If a mathematical model is properly chosen and if the primary …

Application of optimal experimental design concept to improve the estimation of model parameters in microbial thermal inactivation kinetics.

MM Gil, FA Miller, CLM Silva, TRS Brandão - 2014 - cabidigitallibrary.org
The estimation of model parameters with high precision is of major importance in
mathematical predictions. If a mathematical model is properly chosen and if the primary …

Application of optimal experimental design concept to improve the estimation of model parameters in microbial thermal inactivation kinetics

MM Gil, FA Miller, CLM Silva… - Journal of Food …, 2014 - repositorio.ucp.pt
The estimation of model parameters with high precision is of major importance in
mathematical predictions. If a mathematical model is properly chosen and if the primary …

[引用][C] Application of optimal experimental design concept to improve the estimation of model parameters in microbial thermal inactivation kinetics

MM Gil, FA Miller, CLM Silva, TRS Brandão - 2014