Encyclopedia of Systems Biology

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

Design of Experiments

  • Alexandros Kiparissidis
  • E.N. Pistikopoulos
  • Athanasios MantalarisEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4419-9863-7_1379

Synonyms

Definition

The aim is to design experiments in order to maximize the information content of the measurements in the context of their utilization for estimating the model parameters. This is equivalent to minimizing the variances of the parameters to be estimated. The variances are a measure for the uncertainty of the parameters, also represented by individual confidence interval approximations. Design of experiments (DoE) aims at minimizing the variances of the parameters to be estimated. Experiment design for parameter precision aims at determining optimal experimental settings and measurement times in order to maximize the information content from the measured data generated by these experiments. This is equivalent to minimizing the confidence ellipsoid of the parameters to be estimated.

Characteristics

DoE aims to address the following questions:
  • What should be the initial conditions for the experiment?

  • How long should we run the experiment?

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References

  1. Process Systems Enterprise (1997–2011) gPROMS. www.psenterprise.com/gproms

Copyright information

© Springer Science+Business Media, LLC 2013

Authors and Affiliations

  • Alexandros Kiparissidis
    • 1
  • E.N. Pistikopoulos
    • 1
  • Athanasios Mantalaris
    • 1
    Email author
  1. 1.Biological Systems Engineering Laboratory, Department of Chemical EngineeringCentre for Process Systems Engineering, Imperial CollegeLondonUK