The impact of global sensitivities and design measures in model-based optimal 
experimental design

Schenkendorf, René; Xie, Xiangzhong; Rehbein, Moritz; Scholl, Stephan; Krewer, Ulrike

doi:10.3390/pr6040027

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The impact of global sensitivities and design measures in model-based optimal experimental design

Schenkendorf, R., Xie, X., Rehbein, M., Scholl, S., & Krewer, U. (2018). The impact of global sensitivities and design measures in model-based optimal experimental design. Processes, 6(4): 27. doi:10.3390/pr6040027.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-23EA-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-23EB-F

Genre: Journal Article

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Creators:
Schenkendorf, René¹, Author
Xie, Xiangzhong^{1, 2}, Author
Rehbein, Moritz¹, Author
Scholl, Stephan¹, Author
Krewer, Ulrike¹, Author

Affiliations:
1TU Braunschweig, ou_persistent22
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738143

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Language(s): eng - English

Dates: Date issued: 2018

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.3390/pr6040027

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Title: Processes

Source Genre: Journal

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Publ. Info: Basel, Switzerland : MDPI AG

Pages: - Volume / Issue: 6 (4) Sequence Number: 27 Start / End Page: - Identifier: ISSN: 2227-9717
CoNE: https://pure.mpg.de/cone/journals/resource/2227-9717