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- University of Illinois – Urbana-Champaign (14)
- University of Texas – Austin (13)
- University of Colorado (12)

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1.
Zheng, Mengdi.
Numerical methods for stochastic systems *subject* to
generalized Levy noise.

Degree: PhD, Applied Mathematics, 2015, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:419499/

► In this thesis, we aim to improve the accuracy and efficiency in *uncertainty* *quantification* (UQ) of stochastic partial differential equations (SPDEs) driven by Levy jump…
(more)

Subjects/Keywords: uncertainty quantification

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Zheng, M. (2015). Numerical methods for stochastic systems subject to generalized Levy noise. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:419499/

Chicago Manual of Style (16^{th} Edition):

Zheng, Mengdi. “Numerical methods for stochastic systems subject to generalized Levy noise.” 2015. Doctoral Dissertation, Brown University. Accessed October 01, 2020. https://repository.library.brown.edu/studio/item/bdr:419499/.

MLA Handbook (7^{th} Edition):

Zheng, Mengdi. “Numerical methods for stochastic systems subject to generalized Levy noise.” 2015. Web. 01 Oct 2020.

Vancouver:

Zheng M. Numerical methods for stochastic systems subject to generalized Levy noise. [Internet] [Doctoral dissertation]. Brown University; 2015. [cited 2020 Oct 01]. Available from: https://repository.library.brown.edu/studio/item/bdr:419499/.

Council of Science Editors:

Zheng M. Numerical methods for stochastic systems subject to generalized Levy noise. [Doctoral Dissertation]. Brown University; 2015. Available from: https://repository.library.brown.edu/studio/item/bdr:419499/

2.
Cho, Heyrim.
High-Dimensional Response-Excitation PDF Methods for
*Uncertainty* *Quantification* and Stochastic Modeling.

Degree: PhD, Applied Mathematics, 2015, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:419509/

► The probability density approach based on the response-excitation theory is developed for stochastic simulations of non-Markovian systems. This approach provides the complete probabilistic configuration of…
(more)

Subjects/Keywords: Uncertainty quantification

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Cho, H. (2015). High-Dimensional Response-Excitation PDF Methods for Uncertainty Quantification and Stochastic Modeling. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:419509/

Chicago Manual of Style (16^{th} Edition):

Cho, Heyrim. “High-Dimensional Response-Excitation PDF Methods for Uncertainty Quantification and Stochastic Modeling.” 2015. Doctoral Dissertation, Brown University. Accessed October 01, 2020. https://repository.library.brown.edu/studio/item/bdr:419509/.

MLA Handbook (7^{th} Edition):

Cho, Heyrim. “High-Dimensional Response-Excitation PDF Methods for Uncertainty Quantification and Stochastic Modeling.” 2015. Web. 01 Oct 2020.

Vancouver:

Cho H. High-Dimensional Response-Excitation PDF Methods for Uncertainty Quantification and Stochastic Modeling. [Internet] [Doctoral dissertation]. Brown University; 2015. [cited 2020 Oct 01]. Available from: https://repository.library.brown.edu/studio/item/bdr:419509/.

Council of Science Editors:

Cho H. High-Dimensional Response-Excitation PDF Methods for Uncertainty Quantification and Stochastic Modeling. [Doctoral Dissertation]. Brown University; 2015. Available from: https://repository.library.brown.edu/studio/item/bdr:419509/

3. Choi, Minseok. Time-dependent Karhunen-Loeve type decomposition methods for SPDEs.

Degree: PhD, Applied Mathematics, 2014, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:386285/

► A new hybrid methodology for the stochastic partial differential equations (SPDEs) is developed based on the dynamically-orthogonal (DO) and bi-orthogonal (BO) expansions; both approaches are…
(more)

Subjects/Keywords: uncertainty quantification

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Choi, M. (2014). Time-dependent Karhunen-Loeve type decomposition methods for SPDEs. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:386285/

Chicago Manual of Style (16^{th} Edition):

Choi, Minseok. “Time-dependent Karhunen-Loeve type decomposition methods for SPDEs.” 2014. Doctoral Dissertation, Brown University. Accessed October 01, 2020. https://repository.library.brown.edu/studio/item/bdr:386285/.

MLA Handbook (7^{th} Edition):

Choi, Minseok. “Time-dependent Karhunen-Loeve type decomposition methods for SPDEs.” 2014. Web. 01 Oct 2020.

Vancouver:

Choi M. Time-dependent Karhunen-Loeve type decomposition methods for SPDEs. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2020 Oct 01]. Available from: https://repository.library.brown.edu/studio/item/bdr:386285/.

Council of Science Editors:

Choi M. Time-dependent Karhunen-Loeve type decomposition methods for SPDEs. [Doctoral Dissertation]. Brown University; 2014. Available from: https://repository.library.brown.edu/studio/item/bdr:386285/

4.
Chowdhary, Kamaljit.
Distinguishing and Integrating Aleatoric and Epistemic
Variation in *Uncertainty* *Quantification*/ Sparse Gradient Image
Reconstruction from Fourier and Edge Measurements.

Degree: PhD, Applied Mathematics, 2012, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:297521/

► This dissertation is divided into two separate parts. In Part I, we develop methods to obtain information on a system when the distributions of some…
(more)

Subjects/Keywords: uncertainty quantification

Record Details Similar Records

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APA (6^{th} Edition):

Chowdhary, K. (2012). Distinguishing and Integrating Aleatoric and Epistemic Variation in Uncertainty Quantification/ Sparse Gradient Image Reconstruction from Fourier and Edge Measurements. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:297521/

Chicago Manual of Style (16^{th} Edition):

Chowdhary, Kamaljit. “Distinguishing and Integrating Aleatoric and Epistemic Variation in Uncertainty Quantification/ Sparse Gradient Image Reconstruction from Fourier and Edge Measurements.” 2012. Doctoral Dissertation, Brown University. Accessed October 01, 2020. https://repository.library.brown.edu/studio/item/bdr:297521/.

MLA Handbook (7^{th} Edition):

Chowdhary, Kamaljit. “Distinguishing and Integrating Aleatoric and Epistemic Variation in Uncertainty Quantification/ Sparse Gradient Image Reconstruction from Fourier and Edge Measurements.” 2012. Web. 01 Oct 2020.

Vancouver:

Chowdhary K. Distinguishing and Integrating Aleatoric and Epistemic Variation in Uncertainty Quantification/ Sparse Gradient Image Reconstruction from Fourier and Edge Measurements. [Internet] [Doctoral dissertation]. Brown University; 2012. [cited 2020 Oct 01]. Available from: https://repository.library.brown.edu/studio/item/bdr:297521/.

Council of Science Editors:

Chowdhary K. Distinguishing and Integrating Aleatoric and Epistemic Variation in Uncertainty Quantification/ Sparse Gradient Image Reconstruction from Fourier and Edge Measurements. [Doctoral Dissertation]. Brown University; 2012. Available from: https://repository.library.brown.edu/studio/item/bdr:297521/

5.
Yang, Xiu.
The Holy Trinity of Stochastic Modeling and *Uncertainty*
*Quantification*: High-Dimensionality, Sparsity and Rare
Events.

Degree: PhD, Applied Mathematics, 2014, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:386255/

► In this thesis, we present new developments to the three most important issues in stochastic modeling and *uncertainty* *quantification* (UQ): high-dimensionality, sparsity and rare events.…
(more)

Subjects/Keywords: uncertainty quantification

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Yang, X. (2014). The Holy Trinity of Stochastic Modeling and Uncertainty Quantification: High-Dimensionality, Sparsity and Rare Events. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:386255/

Chicago Manual of Style (16^{th} Edition):

Yang, Xiu. “The Holy Trinity of Stochastic Modeling and Uncertainty Quantification: High-Dimensionality, Sparsity and Rare Events.” 2014. Doctoral Dissertation, Brown University. Accessed October 01, 2020. https://repository.library.brown.edu/studio/item/bdr:386255/.

MLA Handbook (7^{th} Edition):

Yang, Xiu. “The Holy Trinity of Stochastic Modeling and Uncertainty Quantification: High-Dimensionality, Sparsity and Rare Events.” 2014. Web. 01 Oct 2020.

Vancouver:

Yang X. The Holy Trinity of Stochastic Modeling and Uncertainty Quantification: High-Dimensionality, Sparsity and Rare Events. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2020 Oct 01]. Available from: https://repository.library.brown.edu/studio/item/bdr:386255/.

Council of Science Editors:

Yang X. The Holy Trinity of Stochastic Modeling and Uncertainty Quantification: High-Dimensionality, Sparsity and Rare Events. [Doctoral Dissertation]. Brown University; 2014. Available from: https://repository.library.brown.edu/studio/item/bdr:386255/

University of Utah

6.
Centauri, Laurie Ann.
*Uncertainty**quantification* for holographic interferographic images.

Degree: MS, Chemical Engineering, 2010, University of Utah

URL: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/400/rec/2820

► Current comparison methods for experimental and simulated holographic interferometric images are qualitative in nature. Previous comparisons of holographic interferometric images with computational fluid dynamics (CFD)…
(more)

Subjects/Keywords: Holographic interferometry; Plumes; Uncertainty quantification

Record Details Similar Records

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APA (6^{th} Edition):

Centauri, L. A. (2010). Uncertainty quantification for holographic interferographic images. (Masters Thesis). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/400/rec/2820

Chicago Manual of Style (16^{th} Edition):

Centauri, Laurie Ann. “Uncertainty quantification for holographic interferographic images.” 2010. Masters Thesis, University of Utah. Accessed October 01, 2020. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/400/rec/2820.

MLA Handbook (7^{th} Edition):

Centauri, Laurie Ann. “Uncertainty quantification for holographic interferographic images.” 2010. Web. 01 Oct 2020.

Vancouver:

Centauri LA. Uncertainty quantification for holographic interferographic images. [Internet] [Masters thesis]. University of Utah; 2010. [cited 2020 Oct 01]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/400/rec/2820.

Council of Science Editors:

Centauri LA. Uncertainty quantification for holographic interferographic images. [Masters Thesis]. University of Utah; 2010. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/400/rec/2820

Cornell University

7.
Sternfels, Henri.
Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under * Uncertainty*.

Degree: PhD, Civil and Environmental Engineering, 2013, Cornell University

URL: http://hdl.handle.net/1813/33860

► The main contributions of the present thesis are novel computational methods related to *uncertainty* *quantification*, inverse problems and reduced order modeling in engineering. In the…
(more)

Subjects/Keywords: Uncertainty Quantification; Inverse Problems

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Sternfels, H. (2013). Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/33860

Chicago Manual of Style (16^{th} Edition):

Sternfels, Henri. “Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty.” 2013. Doctoral Dissertation, Cornell University. Accessed October 01, 2020. http://hdl.handle.net/1813/33860.

MLA Handbook (7^{th} Edition):

Sternfels, Henri. “Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty.” 2013. Web. 01 Oct 2020.

Vancouver:

Sternfels H. Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty. [Internet] [Doctoral dissertation]. Cornell University; 2013. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1813/33860.

Council of Science Editors:

Sternfels H. Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty. [Doctoral Dissertation]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/33860

University of Illinois – Urbana-Champaign

8.
Kim, Namjung.
M/NEM devices and *uncertainty* * quantification*.

Degree: PhD, Theoretical & Applied Mechans, 2018, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/101250

► Recent advances in computing power have facilitated the use of computational simulations as design guidelines in a range of fields including the semiconductor industry, biosensors,…
(more)

Subjects/Keywords: Uncertainty quantification; Stochastic modeling framework

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Kim, N. (2018). M/NEM devices and uncertainty quantification. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101250

Chicago Manual of Style (16^{th} Edition):

Kim, Namjung. “M/NEM devices and uncertainty quantification.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 01, 2020. http://hdl.handle.net/2142/101250.

MLA Handbook (7^{th} Edition):

Kim, Namjung. “M/NEM devices and uncertainty quantification.” 2018. Web. 01 Oct 2020.

Vancouver:

Kim N. M/NEM devices and uncertainty quantification. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/2142/101250.

Council of Science Editors:

Kim N. M/NEM devices and uncertainty quantification. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101250

Texas A&M University

9.
Paradis, Kyle Oneil.
Improved Well Cost Estimation Through *Uncertainty* * Quantification*.

Degree: MS, Petroleum Engineering, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/174239

► The study was initiated to develop more accurate well cost estimations for drilling and completion Authorization for Expenditures (AFE). Specifically, a privately funded company (Company…
(more)

Subjects/Keywords: uncertainty quantification; well cost estimation

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Paradis, K. O. (2016). Improved Well Cost Estimation Through Uncertainty Quantification. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174239

Chicago Manual of Style (16^{th} Edition):

Paradis, Kyle Oneil. “Improved Well Cost Estimation Through Uncertainty Quantification.” 2016. Masters Thesis, Texas A&M University. Accessed October 01, 2020. http://hdl.handle.net/1969.1/174239.

MLA Handbook (7^{th} Edition):

Paradis, Kyle Oneil. “Improved Well Cost Estimation Through Uncertainty Quantification.” 2016. Web. 01 Oct 2020.

Vancouver:

Paradis KO. Improved Well Cost Estimation Through Uncertainty Quantification. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1969.1/174239.

Council of Science Editors:

Paradis KO. Improved Well Cost Estimation Through Uncertainty Quantification. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/174239

Texas A&M University

10.
Hetzler, Adam C.
* Quantification* of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem.

Degree: PhD, Nuclear Engineering, 2013, Texas A&M University

URL: http://hdl.handle.net/1969.1/149343

► This research presents new physics-based methods to estimate predictive *uncertainty* stemming from *uncertainty* in the material opacities in radiative transfer computations of key quantities of…
(more)

Subjects/Keywords: Uncertainty Quantification; Sensitivity Analysis

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Hetzler, A. C. (2013). Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149343

Chicago Manual of Style (16^{th} Edition):

Hetzler, Adam C. “Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem.” 2013. Doctoral Dissertation, Texas A&M University. Accessed October 01, 2020. http://hdl.handle.net/1969.1/149343.

MLA Handbook (7^{th} Edition):

Hetzler, Adam C. “Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem.” 2013. Web. 01 Oct 2020.

Vancouver:

Hetzler AC. Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1969.1/149343.

Council of Science Editors:

Hetzler AC. Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149343

Colorado School of Mines

11. Barna, Danielle M. Statistical approach to quantifying the spatial distribution of porosity defects in Inconel 718, A.

Degree: MS(M.S.), Applied Mathematics and Statistics, 2020, Colorado School of Mines

URL: http://hdl.handle.net/11124/174188

► As 3D imaging of materials becomes increasingly accessible the materials science community has a growing need for relevant statistics that quantify the internal structure of…
(more)

Subjects/Keywords: porosity; additive manufacturing; uncertainty quantification

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Barna, D. M. (2020). Statistical approach to quantifying the spatial distribution of porosity defects in Inconel 718, A. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/174188

Chicago Manual of Style (16^{th} Edition):

Barna, Danielle M. “Statistical approach to quantifying the spatial distribution of porosity defects in Inconel 718, A.” 2020. Masters Thesis, Colorado School of Mines. Accessed October 01, 2020. http://hdl.handle.net/11124/174188.

MLA Handbook (7^{th} Edition):

Barna, Danielle M. “Statistical approach to quantifying the spatial distribution of porosity defects in Inconel 718, A.” 2020. Web. 01 Oct 2020.

Vancouver:

Barna DM. Statistical approach to quantifying the spatial distribution of porosity defects in Inconel 718, A. [Internet] [Masters thesis]. Colorado School of Mines; 2020. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/11124/174188.

Council of Science Editors:

Barna DM. Statistical approach to quantifying the spatial distribution of porosity defects in Inconel 718, A. [Masters Thesis]. Colorado School of Mines; 2020. Available from: http://hdl.handle.net/11124/174188

Virginia Tech

12.
Whiting, Nolan Wagner.
Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of * Uncertainty*.

Degree: MS, Aerospace Engineering, 2019, Virginia Tech

URL: http://hdl.handle.net/10919/91903

► Uncertainties often exists when conducting physical experiments, and whether this *uncertainty* exists due to input *uncertainty*, *uncertainty* in the environmental conditions in which the experiment…
(more)

Subjects/Keywords: Validation; Calibration; Prediction; Uncertainty Quantification

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Whiting, N. W. (2019). Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/91903

Chicago Manual of Style (16^{th} Edition):

Whiting, Nolan Wagner. “Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty.” 2019. Masters Thesis, Virginia Tech. Accessed October 01, 2020. http://hdl.handle.net/10919/91903.

MLA Handbook (7^{th} Edition):

Whiting, Nolan Wagner. “Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty.” 2019. Web. 01 Oct 2020.

Vancouver:

Whiting NW. Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/10919/91903.

Council of Science Editors:

Whiting NW. Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/91903

13.
Karlén, Johan.
*Uncertainty**Quantification* of a Large 1-D Dynamic Aircraft System Simulation Model.

Degree: Faculty of Science & Engineering, 2015, Linköping UniversityLinköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120189

► A 1-D dynamic simulation model of a new cooling system for the upcoming Gripen E aircraft has been developed in the Modelica-based tool Dymola…
(more)

Subjects/Keywords: Uncertainty; Quantification; Dynamic; Modelica; Dymola

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Karlén, J. (2015). Uncertainty Quantification of a Large 1-D Dynamic Aircraft System Simulation Model. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120189

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Karlén, Johan. “Uncertainty Quantification of a Large 1-D Dynamic Aircraft System Simulation Model.” 2015. Thesis, Linköping UniversityLinköping University. Accessed October 01, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120189.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Karlén, Johan. “Uncertainty Quantification of a Large 1-D Dynamic Aircraft System Simulation Model.” 2015. Web. 01 Oct 2020.

Vancouver:

Karlén J. Uncertainty Quantification of a Large 1-D Dynamic Aircraft System Simulation Model. [Internet] [Thesis]. Linköping UniversityLinköping University; 2015. [cited 2020 Oct 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120189.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Karlén J. Uncertainty Quantification of a Large 1-D Dynamic Aircraft System Simulation Model. [Thesis]. Linköping UniversityLinköping University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120189

Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

14.
Dimitrova, I.D. (author).
Next-generation wind turbine tower modeling: *Uncertainty* * quantification*.

Degree: 2016, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:a6c581d1-51cf-4e5b-800b-d2f77b24a123

►

The natural frequency of wind turbine towers can be more than 10% off from the designed frequency. This frequency is important for control because it… (more)

Subjects/Keywords: uncertainty quantification; OMA; identification

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Dimitrova, I. D. (. (2016). Next-generation wind turbine tower modeling: Uncertainty quantification. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a6c581d1-51cf-4e5b-800b-d2f77b24a123

Chicago Manual of Style (16^{th} Edition):

Dimitrova, I D (author). “Next-generation wind turbine tower modeling: Uncertainty quantification.” 2016. Masters Thesis, Delft University of Technology. Accessed October 01, 2020. http://resolver.tudelft.nl/uuid:a6c581d1-51cf-4e5b-800b-d2f77b24a123.

MLA Handbook (7^{th} Edition):

Dimitrova, I D (author). “Next-generation wind turbine tower modeling: Uncertainty quantification.” 2016. Web. 01 Oct 2020.

Vancouver:

Dimitrova ID(. Next-generation wind turbine tower modeling: Uncertainty quantification. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2020 Oct 01]. Available from: http://resolver.tudelft.nl/uuid:a6c581d1-51cf-4e5b-800b-d2f77b24a123.

Council of Science Editors:

Dimitrova ID(. Next-generation wind turbine tower modeling: Uncertainty quantification. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:a6c581d1-51cf-4e5b-800b-d2f77b24a123

University of Southern California

15.
Sheen, David Allan.
Spectral optimization and *uncertainty* *quantification* in
combustion modeling.

Degree: PhD, Aerospace Engineering, 2011, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/437126/rec/6003

► Reliable simulations of reacting flow systems require a well-characterized, detailed chemical model as a foundation. Accuracy of such a model can be assured, in principle,…
(more)

Subjects/Keywords: kinetic modeling; optimization; uncertainty quantification

Record Details Similar Records

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APA (6^{th} Edition):

Sheen, D. A. (2011). Spectral optimization and uncertainty quantification in combustion modeling. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/437126/rec/6003

Chicago Manual of Style (16^{th} Edition):

Sheen, David Allan. “Spectral optimization and uncertainty quantification in combustion modeling.” 2011. Doctoral Dissertation, University of Southern California. Accessed October 01, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/437126/rec/6003.

MLA Handbook (7^{th} Edition):

Sheen, David Allan. “Spectral optimization and uncertainty quantification in combustion modeling.” 2011. Web. 01 Oct 2020.

Vancouver:

Sheen DA. Spectral optimization and uncertainty quantification in combustion modeling. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Oct 01]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/437126/rec/6003.

Council of Science Editors:

Sheen DA. Spectral optimization and uncertainty quantification in combustion modeling. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/437126/rec/6003

Louisiana State University

16.
Babaee, Hessam.
*Uncertainty**quantification* of film cooling effectiveness in gas turbines.

Degree: MS, Applied Mathematics, 2013, Louisiana State University

URL: etd-07082013-005157 ; https://digitalcommons.lsu.edu/gradschool_theses/1389

► In this study the effect of *uncertainty* of velocity ratio on jet in crossflow and particual- rly film cooling performance is studied. Direct numerical simulations…
(more)

Subjects/Keywords: bifurcation; uncertainty quantification; Film cooling

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APA (6^{th} Edition):

Babaee, H. (2013). Uncertainty quantification of film cooling effectiveness in gas turbines. (Masters Thesis). Louisiana State University. Retrieved from etd-07082013-005157 ; https://digitalcommons.lsu.edu/gradschool_theses/1389

Chicago Manual of Style (16^{th} Edition):

Babaee, Hessam. “Uncertainty quantification of film cooling effectiveness in gas turbines.” 2013. Masters Thesis, Louisiana State University. Accessed October 01, 2020. etd-07082013-005157 ; https://digitalcommons.lsu.edu/gradschool_theses/1389.

MLA Handbook (7^{th} Edition):

Babaee, Hessam. “Uncertainty quantification of film cooling effectiveness in gas turbines.” 2013. Web. 01 Oct 2020.

Vancouver:

Babaee H. Uncertainty quantification of film cooling effectiveness in gas turbines. [Internet] [Masters thesis]. Louisiana State University; 2013. [cited 2020 Oct 01]. Available from: etd-07082013-005157 ; https://digitalcommons.lsu.edu/gradschool_theses/1389.

Council of Science Editors:

Babaee H. Uncertainty quantification of film cooling effectiveness in gas turbines. [Masters Thesis]. Louisiana State University; 2013. Available from: etd-07082013-005157 ; https://digitalcommons.lsu.edu/gradschool_theses/1389

Purdue University

17.
Qi, Xin.
*UNCERTAINTY**QUANTIFICATION* IN SCIENTIFIC MODELS.

Degree: PhD, Mathematics, 2014, Purdue University

URL: https://docs.lib.purdue.edu/open_access_dissertations/1507

► Uncertainties widely exist in physical, finance, and many other areas. Some uncertainties are determined by the nature of the research *subject*, such as random variable…
(more)

Subjects/Keywords: Bayesian; Epistemic Uncertainty; Model discrepancy; Uncertainty Quantification

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APA (6^{th} Edition):

Qi, X. (2014). UNCERTAINTY QUANTIFICATION IN SCIENTIFIC MODELS. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/1507

Chicago Manual of Style (16^{th} Edition):

Qi, Xin. “UNCERTAINTY QUANTIFICATION IN SCIENTIFIC MODELS.” 2014. Doctoral Dissertation, Purdue University. Accessed October 01, 2020. https://docs.lib.purdue.edu/open_access_dissertations/1507.

MLA Handbook (7^{th} Edition):

Qi, Xin. “UNCERTAINTY QUANTIFICATION IN SCIENTIFIC MODELS.” 2014. Web. 01 Oct 2020.

Vancouver:

Qi X. UNCERTAINTY QUANTIFICATION IN SCIENTIFIC MODELS. [Internet] [Doctoral dissertation]. Purdue University; 2014. [cited 2020 Oct 01]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1507.

Council of Science Editors:

Qi X. UNCERTAINTY QUANTIFICATION IN SCIENTIFIC MODELS. [Doctoral Dissertation]. Purdue University; 2014. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1507

Colorado School of Mines

18.
Pawelec, Iga.
*Uncertainty**quantification* in seismic imaging.

Degree: MS(M.S.), Geophysics, 2018, Colorado School of Mines

URL: http://hdl.handle.net/11124/172615

► To make informed decisions, one has to consider all available knowledge about the assessed problem. An important part of the decision-making process is understanding uncertainties…
(more)

Subjects/Keywords: Seismic imaging; Data uncertainty; Uncertainty quantification

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APA (6^{th} Edition):

Pawelec, I. (2018). Uncertainty quantification in seismic imaging. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/172615

Chicago Manual of Style (16^{th} Edition):

Pawelec, Iga. “Uncertainty quantification in seismic imaging.” 2018. Masters Thesis, Colorado School of Mines. Accessed October 01, 2020. http://hdl.handle.net/11124/172615.

MLA Handbook (7^{th} Edition):

Pawelec, Iga. “Uncertainty quantification in seismic imaging.” 2018. Web. 01 Oct 2020.

Vancouver:

Pawelec I. Uncertainty quantification in seismic imaging. [Internet] [Masters thesis]. Colorado School of Mines; 2018. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/11124/172615.

Council of Science Editors:

Pawelec I. Uncertainty quantification in seismic imaging. [Masters Thesis]. Colorado School of Mines; 2018. Available from: http://hdl.handle.net/11124/172615

Colorado State University

19.
Kapse, Ishan Deepak.
Novel methods to quantify aleatory and epistemic *uncertainty* in high speed networks.

Degree: MS(M.S.), Electrical and Computer Engineering, 2017, Colorado State University

URL: http://hdl.handle.net/10217/184055

► With the sustained miniaturization of integrated circuits to sub-45 nm regime and the increasing packaging density, random process variations have been found to result in…
(more)

Subjects/Keywords: epistemic uncertainty; uncertainty quantification; fuzzy sets; aleatory uncertainty

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APA (6^{th} Edition):

Kapse, I. D. (2017). Novel methods to quantify aleatory and epistemic uncertainty in high speed networks. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/184055

Chicago Manual of Style (16^{th} Edition):

Kapse, Ishan Deepak. “Novel methods to quantify aleatory and epistemic uncertainty in high speed networks.” 2017. Masters Thesis, Colorado State University. Accessed October 01, 2020. http://hdl.handle.net/10217/184055.

MLA Handbook (7^{th} Edition):

Kapse, Ishan Deepak. “Novel methods to quantify aleatory and epistemic uncertainty in high speed networks.” 2017. Web. 01 Oct 2020.

Vancouver:

Kapse ID. Novel methods to quantify aleatory and epistemic uncertainty in high speed networks. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/10217/184055.

Council of Science Editors:

Kapse ID. Novel methods to quantify aleatory and epistemic uncertainty in high speed networks. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/184055

University of Utah

20. Schroeder, Benjamin Brian. Scale-bridging model development and increased model credibility.

Degree: PhD, Chemical Engineering, 2015, University of Utah

URL: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3898/rec/2133

► Scale-bridging models are created to capture desired characteristics of high-fidelity models within low-fidelity model-forms for the purpose of allowing models to function at required spacial…
(more)

Subjects/Keywords: Modeling; Scale-Bridging; Uncertainty Quantification; Validation

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APA (6^{th} Edition):

Schroeder, B. B. (2015). Scale-bridging model development and increased model credibility. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3898/rec/2133

Chicago Manual of Style (16^{th} Edition):

Schroeder, Benjamin Brian. “Scale-bridging model development and increased model credibility.” 2015. Doctoral Dissertation, University of Utah. Accessed October 01, 2020. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3898/rec/2133.

MLA Handbook (7^{th} Edition):

Schroeder, Benjamin Brian. “Scale-bridging model development and increased model credibility.” 2015. Web. 01 Oct 2020.

Vancouver:

Schroeder BB. Scale-bridging model development and increased model credibility. [Internet] [Doctoral dissertation]. University of Utah; 2015. [cited 2020 Oct 01]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3898/rec/2133.

Council of Science Editors:

Schroeder BB. Scale-bridging model development and increased model credibility. [Doctoral Dissertation]. University of Utah; 2015. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3898/rec/2133

Cornell University

21. Espinet, Antoine. Developing a Strategy for Parameter Estimation from CO2 Plume Migration During Geologic Carbon Sequestration in a Fluvial Depositional Setting.

Degree: M.S., Civil and Environmental Engineering, Civil and Environmental Engineering, 2011, Cornell University

URL: http://hdl.handle.net/1813/29204

► Estimation of the CO2 plume from monitoring data is needed in order to assure safe carbon sequestration in geological formations. Synthetic field measurements and numerical…
(more)

Subjects/Keywords: geologcial carbon sequestration; inverse modeling; uncertainty quantification

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APA (6^{th} Edition):

Espinet, A. (2011). Developing a Strategy for Parameter Estimation from CO2 Plume Migration During Geologic Carbon Sequestration in a Fluvial Depositional Setting. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/29204

Chicago Manual of Style (16^{th} Edition):

Espinet, Antoine. “Developing a Strategy for Parameter Estimation from CO2 Plume Migration During Geologic Carbon Sequestration in a Fluvial Depositional Setting.” 2011. Masters Thesis, Cornell University. Accessed October 01, 2020. http://hdl.handle.net/1813/29204.

MLA Handbook (7^{th} Edition):

Espinet, Antoine. “Developing a Strategy for Parameter Estimation from CO2 Plume Migration During Geologic Carbon Sequestration in a Fluvial Depositional Setting.” 2011. Web. 01 Oct 2020.

Vancouver:

Espinet A. Developing a Strategy for Parameter Estimation from CO2 Plume Migration During Geologic Carbon Sequestration in a Fluvial Depositional Setting. [Internet] [Masters thesis]. Cornell University; 2011. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1813/29204.

Council of Science Editors:

Espinet A. Developing a Strategy for Parameter Estimation from CO2 Plume Migration During Geologic Carbon Sequestration in a Fluvial Depositional Setting. [Masters Thesis]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/29204

Cornell University

22.
Chen, Peng.
Novel *Uncertainty* *Quantification* Techniques For Problems Described By Stochastic Partial Differential Equations.

Degree: PhD, Mechanical Engineering, 2014, Cornell University

URL: http://hdl.handle.net/1813/38898

► *Uncertainty* propagation (UP) in physical systems governed by PDEs is a challenging problem. This thesis addresses the development of a number of innovative techniques that…
(more)

Subjects/Keywords: Uncertainty quantification; stochastic partial differential equation

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APA (6^{th} Edition):

Chen, P. (2014). Novel Uncertainty Quantification Techniques For Problems Described By Stochastic Partial Differential Equations. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/38898

Chicago Manual of Style (16^{th} Edition):

Chen, Peng. “Novel Uncertainty Quantification Techniques For Problems Described By Stochastic Partial Differential Equations.” 2014. Doctoral Dissertation, Cornell University. Accessed October 01, 2020. http://hdl.handle.net/1813/38898.

MLA Handbook (7^{th} Edition):

Chen, Peng. “Novel Uncertainty Quantification Techniques For Problems Described By Stochastic Partial Differential Equations.” 2014. Web. 01 Oct 2020.

Vancouver:

Chen P. Novel Uncertainty Quantification Techniques For Problems Described By Stochastic Partial Differential Equations. [Internet] [Doctoral dissertation]. Cornell University; 2014. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1813/38898.

Council of Science Editors:

Chen P. Novel Uncertainty Quantification Techniques For Problems Described By Stochastic Partial Differential Equations. [Doctoral Dissertation]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/38898

Cornell University

23.
Kristensen, Jesper.
*Uncertainty**Quantification* With Surrogate Models In Alloy Modeling.

Degree: PhD, Applied Physics, 2015, Cornell University

URL: http://hdl.handle.net/1813/40658

► The success of computational materials science in designing the materials of the future relies on the computation of materials properties using temporally expensive computer codes.…
(more)

Subjects/Keywords: Uncertainty quantification; Surrogate models; Bayesian probability theory

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APA (6^{th} Edition):

Kristensen, J. (2015). Uncertainty Quantification With Surrogate Models In Alloy Modeling. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/40658

Chicago Manual of Style (16^{th} Edition):

Kristensen, Jesper. “Uncertainty Quantification With Surrogate Models In Alloy Modeling.” 2015. Doctoral Dissertation, Cornell University. Accessed October 01, 2020. http://hdl.handle.net/1813/40658.

MLA Handbook (7^{th} Edition):

Kristensen, Jesper. “Uncertainty Quantification With Surrogate Models In Alloy Modeling.” 2015. Web. 01 Oct 2020.

Vancouver:

Kristensen J. Uncertainty Quantification With Surrogate Models In Alloy Modeling. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1813/40658.

Council of Science Editors:

Kristensen J. Uncertainty Quantification With Surrogate Models In Alloy Modeling. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/40658

Vanderbilt University

24.
Liang, Chen.
Multidisciplinary Analysis and Optimization under * Uncertainty*.

Degree: PhD, Civil Engineering, 2016, Vanderbilt University

URL: http://hdl.handle.net/1803/10625

► This study proposes an optimization framework to include different sources of *uncertainty* in the design of multidisciplinary analysis with feedback coupling. To achieve this goal,…
(more)

Subjects/Keywords: Optimization; Multidisciplinary Analysis; Uncertainty Quantification; Reliability Assessment

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APA (6^{th} Edition):

Liang, C. (2016). Multidisciplinary Analysis and Optimization under Uncertainty. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/10625

Chicago Manual of Style (16^{th} Edition):

Liang, Chen. “Multidisciplinary Analysis and Optimization under Uncertainty.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed October 01, 2020. http://hdl.handle.net/1803/10625.

MLA Handbook (7^{th} Edition):

Liang, Chen. “Multidisciplinary Analysis and Optimization under Uncertainty.” 2016. Web. 01 Oct 2020.

Vancouver:

Liang C. Multidisciplinary Analysis and Optimization under Uncertainty. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1803/10625.

Council of Science Editors:

Liang C. Multidisciplinary Analysis and Optimization under Uncertainty. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://hdl.handle.net/1803/10625

Texas A&M University

25.
Stripling, Hayes Franklin.
Adjoint-Based *Uncertainty* *Quantification* and Sensitivity Analysis for Reactor Depletion Calculations.

Degree: PhD, Nuclear Engineering, 2013, Texas A&M University

URL: http://hdl.handle.net/1969.1/151312

► Depletion calculations for nuclear reactors model the dynamic coupling between the material composition and neutron flux and help predict reactor performance and safety characteristics. In…
(more)

Subjects/Keywords: Adjoint; Sensitivity Analysis; Uncertainty Quantification; Depletion Calculations

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APA (6^{th} Edition):

Stripling, H. F. (2013). Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151312

Chicago Manual of Style (16^{th} Edition):

Stripling, Hayes Franklin. “Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations.” 2013. Doctoral Dissertation, Texas A&M University. Accessed October 01, 2020. http://hdl.handle.net/1969.1/151312.

MLA Handbook (7^{th} Edition):

Stripling, Hayes Franklin. “Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations.” 2013. Web. 01 Oct 2020.

Vancouver:

Stripling HF. Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1969.1/151312.

Council of Science Editors:

Stripling HF. Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151312

Texas A&M University

26. Holzaepfel, Aaron J. High Fidelity Deterministic Solution of Neutron Transport Problems in Graphite.

Degree: MS, Nuclear Engineering, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/157938

► The study of thermal radiative transfer in the high energy density regime is important to the National Nuclear Security Administration, and experiments are an important…
(more)

Subjects/Keywords: Radiation Transport; Uncertainty Quantification; Deterministic Transport; MCNP

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APA (6^{th} Edition):

Holzaepfel, A. J. (2016). High Fidelity Deterministic Solution of Neutron Transport Problems in Graphite. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157938

Chicago Manual of Style (16^{th} Edition):

Holzaepfel, Aaron J. “High Fidelity Deterministic Solution of Neutron Transport Problems in Graphite.” 2016. Masters Thesis, Texas A&M University. Accessed October 01, 2020. http://hdl.handle.net/1969.1/157938.

MLA Handbook (7^{th} Edition):

Holzaepfel, Aaron J. “High Fidelity Deterministic Solution of Neutron Transport Problems in Graphite.” 2016. Web. 01 Oct 2020.

Vancouver:

Holzaepfel AJ. High Fidelity Deterministic Solution of Neutron Transport Problems in Graphite. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1969.1/157938.

Council of Science Editors:

Holzaepfel AJ. High Fidelity Deterministic Solution of Neutron Transport Problems in Graphite. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157938

Texas A&M University

27.
Friedman, Samuel Isaac.
Efficient Decoupling of Multiphysics Systems for *Uncertainty* Propagation.

Degree: MS, Mechanical Engineering, 2019, Texas A&M University

URL: http://hdl.handle.net/1969.1/187598

► *Uncertainty* propagation through coupled multiphysics systems is often intractable due to computational expense. In this work, we present a novel methodology to enable *uncertainty* analysis…
(more)

Subjects/Keywords: uncertainty quantification; HDMR; multiphysics; importance sampling

Record Details Similar Records

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APA (6^{th} Edition):

Friedman, S. I. (2019). Efficient Decoupling of Multiphysics Systems for Uncertainty Propagation. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/187598

Chicago Manual of Style (16^{th} Edition):

Friedman, Samuel Isaac. “Efficient Decoupling of Multiphysics Systems for Uncertainty Propagation.” 2019. Masters Thesis, Texas A&M University. Accessed October 01, 2020. http://hdl.handle.net/1969.1/187598.

MLA Handbook (7^{th} Edition):

Friedman, Samuel Isaac. “Efficient Decoupling of Multiphysics Systems for Uncertainty Propagation.” 2019. Web. 01 Oct 2020.

Vancouver:

Friedman SI. Efficient Decoupling of Multiphysics Systems for Uncertainty Propagation. [Internet] [Masters thesis]. Texas A&M University; 2019. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1969.1/187598.

Council of Science Editors:

Friedman SI. Efficient Decoupling of Multiphysics Systems for Uncertainty Propagation. [Masters Thesis]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/187598

28.
Rubio Monzó, María.
*Uncertainty**quantification* in dynamical models. An application to cocaine consumption in Spain.

Degree: 2015, Universitat Politècnica de València

URL: http://hdl.handle.net/10251/55844

► [EN] The present Ph.D. Thesis considers epidemiological mathematical models based on ordinary differential equations and shows its application to understand the cocaine consumption epidemic in…
(more)

Subjects/Keywords: Uncertainty quantification; Mathematical epidemiological models; Sensitivity analysis

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APA (6^{th} Edition):

Rubio Monzó, M. (2015). Uncertainty quantification in dynamical models. An application to cocaine consumption in Spain. (Doctoral Dissertation). Universitat Politècnica de València. Retrieved from http://hdl.handle.net/10251/55844

Chicago Manual of Style (16^{th} Edition):

Rubio Monzó, María. “Uncertainty quantification in dynamical models. An application to cocaine consumption in Spain. ” 2015. Doctoral Dissertation, Universitat Politècnica de València. Accessed October 01, 2020. http://hdl.handle.net/10251/55844.

MLA Handbook (7^{th} Edition):

Rubio Monzó, María. “Uncertainty quantification in dynamical models. An application to cocaine consumption in Spain. ” 2015. Web. 01 Oct 2020.

Vancouver:

Rubio Monzó M. Uncertainty quantification in dynamical models. An application to cocaine consumption in Spain. [Internet] [Doctoral dissertation]. Universitat Politècnica de València; 2015. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/10251/55844.

Council of Science Editors:

Rubio Monzó M. Uncertainty quantification in dynamical models. An application to cocaine consumption in Spain. [Doctoral Dissertation]. Universitat Politècnica de València; 2015. Available from: http://hdl.handle.net/10251/55844

University of Illinois – Urbana-Champaign

29. Wang, Chen. A hierarchical Bayesian calibration framework for quantifying input uncertainties in thermal-hydraulics simulation models.

Degree: PhD, Nuclear, Plasma, Radiolgc Engr, 2020, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/107944

► In the framework of Best Estimate plus *Uncertainty* (BEPU) methodology, the uncertainties involved in simulations must be quantified to prove that the investigated design is…
(more)

Subjects/Keywords: Bayesian Calibration; Hierarchical model; Uncertainty Quantification

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APA (6^{th} Edition):

Wang, C. (2020). A hierarchical Bayesian calibration framework for quantifying input uncertainties in thermal-hydraulics simulation models. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/107944

Chicago Manual of Style (16^{th} Edition):

Wang, Chen. “A hierarchical Bayesian calibration framework for quantifying input uncertainties in thermal-hydraulics simulation models.” 2020. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 01, 2020. http://hdl.handle.net/2142/107944.

MLA Handbook (7^{th} Edition):

Wang, Chen. “A hierarchical Bayesian calibration framework for quantifying input uncertainties in thermal-hydraulics simulation models.” 2020. Web. 01 Oct 2020.

Vancouver:

Wang C. A hierarchical Bayesian calibration framework for quantifying input uncertainties in thermal-hydraulics simulation models. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2020. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/2142/107944.

Council of Science Editors:

Wang C. A hierarchical Bayesian calibration framework for quantifying input uncertainties in thermal-hydraulics simulation models. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2020. Available from: http://hdl.handle.net/2142/107944

30.
Hale II, Lawrence Edmond.
Aerodynamic *Uncertainty* *Quantification* and Estimation of *Uncertainty* Quantified Performance of Unmanned Aircraft Using Non-Deterministic Simulations.

Degree: PhD, Aerospace and Ocean Engineering, 2017, Virginia Tech

URL: http://hdl.handle.net/10919/74427

► This dissertation addresses model form *uncertainty* *quantification*, non-deterministic simulations, and sensitivity analysis of the results of these simulations, with a focus on application to analysis…
(more)

Subjects/Keywords: Uncertainty Quantification; Non-deterministic Simulations; Unmanned Vehicles

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APA (6^{th} Edition):

Hale II, L. E. (2017). Aerodynamic Uncertainty Quantification and Estimation of Uncertainty Quantified Performance of Unmanned Aircraft Using Non-Deterministic Simulations. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/74427

Chicago Manual of Style (16^{th} Edition):

Hale II, Lawrence Edmond. “Aerodynamic Uncertainty Quantification and Estimation of Uncertainty Quantified Performance of Unmanned Aircraft Using Non-Deterministic Simulations.” 2017. Doctoral Dissertation, Virginia Tech. Accessed October 01, 2020. http://hdl.handle.net/10919/74427.

MLA Handbook (7^{th} Edition):

Hale II, Lawrence Edmond. “Aerodynamic Uncertainty Quantification and Estimation of Uncertainty Quantified Performance of Unmanned Aircraft Using Non-Deterministic Simulations.” 2017. Web. 01 Oct 2020.

Vancouver:

Hale II LE. Aerodynamic Uncertainty Quantification and Estimation of Uncertainty Quantified Performance of Unmanned Aircraft Using Non-Deterministic Simulations. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/10919/74427.

Council of Science Editors:

Hale II LE. Aerodynamic Uncertainty Quantification and Estimation of Uncertainty Quantified Performance of Unmanned Aircraft Using Non-Deterministic Simulations. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/74427