Integrated testing strategies can be optimal for chemical risk classification.

Pitchford, Jonathan William orcid.org/0000-0002-8756-0902, Cussens, James orcid.org/0000-0002-1363-2336, Raseta, Marko et al. (1 more author) (2017) Integrated testing strategies can be optimal for chemical risk classification. Mathematical Biosciences. pp. 1-8. ISSN 0025-5564

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Copyright, Publisher and Additional Information: © 2017 Elsevier Inc. All rights reserved. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.
Keywords: Optimal integrated testing strategies,Dynamic programming
Dates:
  • Published (online): 23 May 2017
  • Published: August 2017
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Mathematics (York)
The University of York > Faculty of Sciences (York) > Biology (York)
The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 14 Jun 2017 09:15
Last Modified: 28 Jan 2021 00:16
Published Version: https://doi.org/10.1016/j.mbs.2017.05.005
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.mbs.2017.05.005

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