Title: Optimal experiment design for cardinal values estimation: guidelines for data collection
Authors: Bernaerts, Kristel
Gysemans, Kristel P.M.
Minh, Tri Nhan
Van Impe, Jan # ×
Issue Date: Apr-2005
Publisher: Elsevier Science Publishers
Series Title: International Journal of Food Microbiology vol:100 issue:1-3 pages:153-165
Abstract: Optimal experiment design for parameter estimation (OED/PE) is an interesting technique for modelling practices when aiming for maximum parameter estimation accuracy. Nowadays, experimental designs for secondary modelling within the field of predictive microbiology are mostly arbitrary or based on factorial design. The latter type of design is common practice in response surface modelling approaches. A number of levels of the factor(s) under study are selected and all possible treatment combinations are performed. It is however not always clear which levels and treatment combinations are most relevant. An answer to this question can be obtained from optimal experiment design for-in this particular case-parameter estimation. This technique is based on the extremisation of a scalar function of the Fisher information matrix. The type of scalar function determines the final focus of the optimised design.
ISSN: 0168-1605
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Bio- & Chemical Systems Technology, Reactor Engineering and Safety Section
× corresponding author
# (joint) last author

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