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Data consistency approach to model validation
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.ORCID iD: 0000-0002-5601-1687
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.ORCID iD: 0000-0002-6698-0166
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.ORCID iD: 0000-0002-7957-3711
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.ORCID iD: 0000-0001-5183-234X
2019 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 7, p. 59788-59796Article in journal (Refereed) Published
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2019. Vol. 7, p. 59788-59796
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Probability Theory and Statistics
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URN: urn:nbn:se:uu:diva-386361DOI: 10.1109/ACCESS.2019.2915109ISI: 000468615500001OAI: oai:DiVA.org:uu-386361DiVA, id: diva2:1329413
Available from: 2019-05-07 Created: 2019-06-24 Last updated: 2019-06-26Bibliographically approved

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Lindholm, AndreasZachariah, DaveStoica, PeterSchön, Thomas B.

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