Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature

Author(s):

I. Stamati ◽

F. Logist ◽

E. Van Derlinden ◽

J.-P. Gauchi ◽

J. Van Impe

Keyword(s):

Experimental Design ◽

Microbial Growth ◽

Growth Models ◽

Suboptimal Temperature

Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature: From in silico to in vivo

Food Research International ◽

10.1016/j.foodres.2016.08.001 ◽

2016 ◽

Vol 89 ◽

pp. 689-700 ◽

Cited By ~ 7

Author(s):

I. Stamati ◽

S. Akkermans ◽

F. Logist ◽

E. Noriega ◽

J. Van Impe

Keyword(s):

Experimental Design ◽

In Silico ◽

Microbial Growth ◽

Growth Models ◽

Suboptimal Temperature

Optimal experimental design for practical identification of unstructured growth models

Mathematics and Computers in Simulation ◽

10.1016/s0378-4754(98)00091-3 ◽

1998 ◽

Vol 46 (5-6) ◽

pp. 621-629 ◽

Cited By ~ 20

Author(s):

K.J. Versyck ◽

J.E. Claes ◽

J.F. Van Impe

Keyword(s):

Experimental Design ◽

Growth Models ◽

Optimal Experimental Design

KL-optimal experimental design for discriminating between two growth models applied to a beef farm

Mathematical Biosciences and Engineering ◽

10.3934/mbe.2016.13.67 ◽

2016 ◽

Vol 13 (1) ◽

pp. 67-82 ◽

Author(s):

Santiago Campos-Barreiro ◽

◽

Jesús López-Fidalgo

Keyword(s):

Experimental Design ◽

Growth Models ◽

Beef Farm

Comparing design of experiments and optimal experimental design techniques for modelling the microbial growth rate under static environmental conditions

Food Microbiology ◽

10.1016/j.fm.2018.05.010 ◽

2018 ◽

Vol 76 ◽

pp. 504-512 ◽

Author(s):

Simen Akkermans ◽

Philippe Nimmegeers ◽

Jan F. Van Impe

Keyword(s):

Growth Rate ◽

Experimental Design ◽

Design Of Experiments ◽

Environmental Conditions ◽

Microbial Growth ◽

Design Techniques

Optimal experimental design for parameter estimation in unstructured growth models

Biotechnology Progress ◽

10.1021/bp00029a005 ◽

1994 ◽

Vol 10 (5) ◽

pp. 480-488 ◽

Cited By ~ 88

Author(s):

M. Baltes ◽

R. Schneider ◽

C. Sturm ◽

M. Reuss

Keyword(s):

Parameter Estimation ◽

Experimental Design ◽

Growth Models ◽

Optimal Experimental Design

On the effect of sampling rate and experimental noise in the discrimination between microbial growth models in the suboptimal temperature range

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2015.10.005 ◽

2016 ◽

Vol 85 ◽

pp. 84-93 ◽

Cited By ~ 4

Author(s):

I. Stamati ◽

F. Logist ◽

S. Akkermans ◽

E. Noriega Fernández ◽

J. Van Impe

Keyword(s):

Microbial Growth ◽

Growth Models ◽

Sampling Rate ◽

Suboptimal Temperature ◽

Experimental Noise ◽

Temperature Range

Supplemental Material for Evidence Evaluation: Measure Z Corresponds to Human Utility Judgments Better Than Measure L and Optimal-Experimental-Design Models

Journal of Experimental Psychology Learning Memory and Cognition ◽

10.1037/a0035549.supp ◽

2014 ◽

Keyword(s):

Experimental Design ◽

Design Models ◽

Evidence Evaluation ◽

Evaluation Measure ◽

Better Than

Adaptive optimal experimental design for model discrimination

PsycEXTRA Dataset ◽

10.1037/e520592012-108 ◽

2010 ◽

Author(s):

Jay I. Myung ◽

Daniel R. Cavagnaro ◽

Mark A. Pitt

Keyword(s):

Experimental Design ◽

Model Discrimination

Optimal Experimental Design for Model Discrimination

PsycEXTRA Dataset ◽

10.1037/e527312012-124 ◽

2008 ◽

Author(s):

Jay I. Myung ◽

Mark A. Pitt

Keyword(s):

Experimental Design ◽

Model Discrimination

Optimal experimental design in canonical expansions with applications to signal compression

2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP) ◽

10.1109/globalsip.2016.7905810 ◽

2016 ◽

Author(s):

Roozbeh Dehghannasiri ◽

Xiaoning Qian ◽

Edward R. Dougherty

Keyword(s):

Experimental Design ◽

Signal Compression