Encyclopedia of Systems Biology

2013 Edition
| Editors: Werner Dubitzky, Olaf Wolkenhauer, Kwang-Hyun Cho, Hiroki Yokota

Optimal Experiment Design

  • Yunfei Chu
  • Juergen HahnEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4419-9863-7_1284



Optimal experimental design aims to determine experimental conditions which will result in a rich data set for parameter estimation. Optimal experimental design is especially valuable for analysis of complex systems where experiments are expensive and time-consuming. Experimental conditions, which can be adjusted in the design, include initial conditions, input profiles, sampling time points, sensor locations, etc.

Optimal experimental design is performed by optimizing a criterion function which measures the information content of the data generated by the designed experiment. A set of design criteria has been developed and these are named alphabetically (Atkinson et al. 2007). Each criterion is a real function of the Fisher information matrix as the inverse of the Fisher information matrix provides a lower bound for the covariance matrix of the estimated parameters.

The main challenge for experiment...

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  1. Atkinson AC, Donev AN, Tobias RD (2007) Optimum experimental designs, with SAS. Oxford University Press, OxfordGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2013

Authors and Affiliations

  1. 1.Artie McFerrin Department of Chemical EngineeringTexas A&M UniversityCollege StationUSA