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You searched for subject:(uncertainty quantification). Showing records 1 – 30 of 437 total matches.

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

Degree: PhD, Applied Mathematics, 2015, Brown University

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

  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

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APA (6th 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 (16th 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 (7th 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

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

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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

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

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APA (6th 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 (16th 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 (7th 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

 [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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

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