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Technometrics Volume 64, 2022 - Issue 3
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A Multifidelity Function-on-Function Model Applied to an Abdominal Aortic Aneurysm

Christoph Striegela Department of Statistics, Ludwig-Maximilians-Universität München, München, GermanyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-4313-3623
ORCID Icon,
Jonas Biehlerb Department of Mechanical Engineering, Technische Universität München, Garching bei München, Germany
,
Wolfgang A. Wallb Department of Mechanical Engineering, Technische Universität München, Garching bei München, GermanyORCID Iconhttps://orcid.org/0000-0001-7419-3384
ORCID Icon &
Göran Kauermanna Department of Statistics, Ludwig-Maximilians-Universität München, München, Germany
Pages 279-290 | Received 01 Aug 2019, Accepted 23 Dec 2021, Published online: 03 Feb 2022

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Shangkun Wang, Adam P. Generale, Surya R. Kalidindi & V. Roshan Joseph. (2024) Sequential Designs for Filling Output Spaces. Technometrics 66:1, pages 65-76.
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Xinchao Liu, Xiao Liu, Tulin Kaman, Xiaohua Lu & Guang Lin. (2023) Statistical Learning for Nonlinear Dynamical Systems with Applications to Aircraft-UAV Collisions. Technometrics 65:4, pages 564-578.
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A. M. Elsawah. A novel hybrid algorithm for designing mixed three- and nine-level experiments without modeling assumptions. Communications in Statistics - Simulation and Computation 0:0, pages 1-35.
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Articles from other publishers (1)

Christoph Striegel, Jonas Biehler & Göran Kauermann. (2023) Weighted high dimensional data reduction of finite element features: an application on high pressure of an abdominal aortic aneurysm. Computational Statistics.
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