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You searched for subject:(Uncertainty quantification). Showing records 1 – 30 of 319 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 May 27, 2019. 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. 27 May 2019.

Vancouver:

Zheng M. Numerical methods for stochastic systems subject to generalized Levy noise. [Internet] [Doctoral dissertation]. Brown University; 2015. [cited 2019 May 27]. 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 May 27, 2019. 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. 27 May 2019.

Vancouver:

Cho H. High-Dimensional Response-Excitation PDF Methods for Uncertainty Quantification and Stochastic Modeling. [Internet] [Doctoral dissertation]. Brown University; 2015. [cited 2019 May 27]. 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 May 27, 2019. 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. 27 May 2019.

Vancouver:

Choi M. Time-dependent Karhunen-Loeve type decomposition methods for SPDEs. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2019 May 27]. 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 May 27, 2019. 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. 27 May 2019.

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 2019 May 27]. 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 May 27, 2019. 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. 27 May 2019.

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 2019 May 27]. 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 May 27, 2019. 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. 27 May 2019.

Vancouver:

Centauri LA. Uncertainty quantification for holographic interferographic images. [Internet] [Masters thesis]. University of Utah; 2010. [cited 2019 May 27]. 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


Texas A&M University

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

Degree: 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. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149343

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):

Hetzler, Adam C. “Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem.” 2013. Thesis, Texas A&M University. Accessed May 27, 2019. http://hdl.handle.net/1969.1/149343.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hetzler, Adam C. “Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem.” 2013. Web. 27 May 2019.

Vancouver:

Hetzler AC. Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 May 27]. Available from: http://hdl.handle.net/1969.1/149343.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cornell University

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

Degree: 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 . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/33860

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):

Sternfels, Henri. “Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty .” 2013. Thesis, Cornell University. Accessed May 27, 2019. http://hdl.handle.net/1813/33860.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sternfels, Henri. “Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty .” 2013. Web. 27 May 2019.

Vancouver:

Sternfels H. Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty . [Internet] [Thesis]. Cornell University; 2013. [cited 2019 May 27]. Available from: http://hdl.handle.net/1813/33860.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Louisiana State University

9. 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 May 27, 2019. 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. 27 May 2019.

Vancouver:

Babaee H. Uncertainty quantification of film cooling effectiveness in gas turbines. [Internet] [Masters thesis]. Louisiana State University; 2013. [cited 2019 May 27]. 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


University of Southern California

10. 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/5995

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 May 27, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/437126/rec/5995.

MLA Handbook (7th Edition):

Sheen, David Allan. “Spectral optimization and uncertainty quantification in combustion modeling.” 2011. Web. 27 May 2019.

Vancouver:

Sheen DA. Spectral optimization and uncertainty quantification in combustion modeling. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 May 27]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/437126/rec/5995.

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/5995

11. 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 May 27, 2019. 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. 27 May 2019.

Vancouver:

Karlén J. Uncertainty Quantification of a Large 1-D Dynamic Aircraft System Simulation Model. [Internet] [Thesis]. Linköping UniversityLinköping University; 2015. [cited 2019 May 27]. 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

12. Dimitrova, I.D. 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. “Next-generation wind turbine tower modeling: Uncertainty quantification:.” 2016. Masters Thesis, Delft University of Technology. Accessed May 27, 2019. http://resolver.tudelft.nl/uuid:a6c581d1-51cf-4e5b-800b-d2f77b24a123.

MLA Handbook (7th Edition):

Dimitrova, I D. “Next-generation wind turbine tower modeling: Uncertainty quantification:.” 2016. Web. 27 May 2019.

Vancouver:

Dimitrova ID. Next-generation wind turbine tower modeling: Uncertainty quantification:. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2019 May 27]. 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


Texas A&M University

13. 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 May 27, 2019. http://hdl.handle.net/1969.1/174239.

MLA Handbook (7th Edition):

Paradis, Kyle Oneil. “Improved Well Cost Estimation Through Uncertainty Quantification.” 2016. Web. 27 May 2019.

Vancouver:

Paradis KO. Improved Well Cost Estimation Through Uncertainty Quantification. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2019 May 27]. 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


Purdue University

14. 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 May 27, 2019. https://docs.lib.purdue.edu/open_access_dissertations/1507.

MLA Handbook (7th Edition):

Qi, Xin. “UNCERTAINTY QUANTIFICATION IN SCIENTIFIC MODELS.” 2014. Web. 27 May 2019.

Vancouver:

Qi X. UNCERTAINTY QUANTIFICATION IN SCIENTIFIC MODELS. [Internet] [Doctoral dissertation]. Purdue University; 2014. [cited 2019 May 27]. 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

15. 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 May 27, 2019. http://hdl.handle.net/11124/172615.

MLA Handbook (7th Edition):

Pawelec, Iga. “Uncertainty quantification in seismic imaging.” 2018. Web. 27 May 2019.

Vancouver:

Pawelec I. Uncertainty quantification in seismic imaging. [Internet] [Masters thesis]. Colorado School of Mines; 2018. [cited 2019 May 27]. 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

16. 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 May 27, 2019. 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. 27 May 2019.

Vancouver:

Kapse ID. Novel methods to quantify aleatory and epistemic uncertainty in high speed networks. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2019 May 27]. 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

17. 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 May 27, 2019. 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. 27 May 2019.

Vancouver:

Schroeder BB. Scale-bridging model development and increased model credibility. [Internet] [Doctoral dissertation]. University of Utah; 2015. [cited 2019 May 27]. 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


University of Ontario Institute of Technology

18. Boafo, Emmanuel. Uncertainty quantification for safety verification applications in nuclear power plants.

Degree: 2016, University of Ontario Institute of Technology

 There is an increasing interest in computational reactor safety analysis to systematically replace the conservative calculations by best estimate calculations augmented by quantitative uncertainty analysis… (more)

Subjects/Keywords: Uncertainty quantification; CATHENA; Sensitivity analysis; FSN; LOCA

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APA (6th Edition):

Boafo, E. (2016). Uncertainty quantification for safety verification applications in nuclear power plants. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/733

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):

Boafo, Emmanuel. “Uncertainty quantification for safety verification applications in nuclear power plants.” 2016. Thesis, University of Ontario Institute of Technology. Accessed May 27, 2019. http://hdl.handle.net/10155/733.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Boafo, Emmanuel. “Uncertainty quantification for safety verification applications in nuclear power plants.” 2016. Web. 27 May 2019.

Vancouver:

Boafo E. Uncertainty quantification for safety verification applications in nuclear power plants. [Internet] [Thesis]. University of Ontario Institute of Technology; 2016. [cited 2019 May 27]. Available from: http://hdl.handle.net/10155/733.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Boafo E. Uncertainty quantification for safety verification applications in nuclear power plants. [Thesis]. University of Ontario Institute of Technology; 2016. Available from: http://hdl.handle.net/10155/733

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

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

Degree: 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. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157938

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):

Holzaepfel, Aaron J. “High Fidelity Deterministic Solution of Neutron Transport Problems in Graphite.” 2016. Thesis, Texas A&M University. Accessed May 27, 2019. http://hdl.handle.net/1969.1/157938.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Holzaepfel, Aaron J. “High Fidelity Deterministic Solution of Neutron Transport Problems in Graphite.” 2016. Web. 27 May 2019.

Vancouver:

Holzaepfel AJ. High Fidelity Deterministic Solution of Neutron Transport Problems in Graphite. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2019 May 27]. Available from: http://hdl.handle.net/1969.1/157938.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

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

Degree: 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. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151312

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):

Stripling, Hayes Franklin. “Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations.” 2013. Thesis, Texas A&M University. Accessed May 27, 2019. http://hdl.handle.net/1969.1/151312.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Stripling, Hayes Franklin. “Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations.” 2013. Web. 27 May 2019.

Vancouver:

Stripling HF. Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 May 27]. Available from: http://hdl.handle.net/1969.1/151312.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Washington University in St. Louis

21. Hou, Zuoxian. Uncertainty Quantification of Wall-Modeled Large Eddy Simulation (WMLES) Model in OpenFOAM.

Degree: MS, Mechanical Engineering & Materials Science, 2017, Washington University in St. Louis

  In this thesis, a non-intrusive uncertainty quantification (UQ) method is used to improve the accuracy of a wall-modeled large eddy simulation (WMLES) model. Detailed… (more)

Subjects/Keywords: Uncertainty Quantification; turbulent model; CFD; Engineering

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APA (6th Edition):

Hou, Z. (2017). Uncertainty Quantification of Wall-Modeled Large Eddy Simulation (WMLES) Model in OpenFOAM. (Thesis). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/eng_etds/253

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):

Hou, Zuoxian. “Uncertainty Quantification of Wall-Modeled Large Eddy Simulation (WMLES) Model in OpenFOAM.” 2017. Thesis, Washington University in St. Louis. Accessed May 27, 2019. https://openscholarship.wustl.edu/eng_etds/253.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hou, Zuoxian. “Uncertainty Quantification of Wall-Modeled Large Eddy Simulation (WMLES) Model in OpenFOAM.” 2017. Web. 27 May 2019.

Vancouver:

Hou Z. Uncertainty Quantification of Wall-Modeled Large Eddy Simulation (WMLES) Model in OpenFOAM. [Internet] [Thesis]. Washington University in St. Louis; 2017. [cited 2019 May 27]. Available from: https://openscholarship.wustl.edu/eng_etds/253.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hou Z. Uncertainty Quantification of Wall-Modeled Large Eddy Simulation (WMLES) Model in OpenFOAM. [Thesis]. Washington University in St. Louis; 2017. Available from: https://openscholarship.wustl.edu/eng_etds/253

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

22. 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 May 27, 2019. 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. 27 May 2019.

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 2019 May 27]. 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


Virginia Tech

23. Olson, Nicholai Kenneth Keeney. Validation and Uncertainty Quantification of Doublet Lattice Flight Loads using Flight Test Data.

Degree: MS, Aerospace and Ocean Engineering, 2018, Virginia Tech

 This paper presents a framework for tuning, validating, and quantifying uncertainties for flight loads. The flight loads are computed using a Nastran doublet lattice model… (more)

Subjects/Keywords: Loads; Doublet Lattice; Validation; Uncertainty Quantification

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APA (6th Edition):

Olson, N. K. K. (2018). Validation and Uncertainty Quantification of Doublet Lattice Flight Loads using Flight Test Data. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/84345

Chicago Manual of Style (16th Edition):

Olson, Nicholai Kenneth Keeney. “Validation and Uncertainty Quantification of Doublet Lattice Flight Loads using Flight Test Data.” 2018. Masters Thesis, Virginia Tech. Accessed May 27, 2019. http://hdl.handle.net/10919/84345.

MLA Handbook (7th Edition):

Olson, Nicholai Kenneth Keeney. “Validation and Uncertainty Quantification of Doublet Lattice Flight Loads using Flight Test Data.” 2018. Web. 27 May 2019.

Vancouver:

Olson NKK. Validation and Uncertainty Quantification of Doublet Lattice Flight Loads using Flight Test Data. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 May 27]. Available from: http://hdl.handle.net/10919/84345.

Council of Science Editors:

Olson NKK. Validation and Uncertainty Quantification of Doublet Lattice Flight Loads using Flight Test Data. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/84345


Cornell University

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

Degree: 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 . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/29204

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):

Espinet, Antoine. “Developing a Strategy for Parameter Estimation from CO2 Plume Migration During Geologic Carbon Sequestration in a Fluvial Depositional Setting .” 2011. Thesis, Cornell University. Accessed May 27, 2019. http://hdl.handle.net/1813/29204.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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. 27 May 2019.

Vancouver:

Espinet A. Developing a Strategy for Parameter Estimation from CO2 Plume Migration During Geologic Carbon Sequestration in a Fluvial Depositional Setting . [Internet] [Thesis]. Cornell University; 2011. [cited 2019 May 27]. Available from: http://hdl.handle.net/1813/29204.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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 . [Thesis]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/29204

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cornell University

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

Degree: 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 . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/38898

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):

Chen, Peng. “Novel Uncertainty Quantification Techniques For Problems Described By Stochastic Partial Differential Equations .” 2014. Thesis, Cornell University. Accessed May 27, 2019. http://hdl.handle.net/1813/38898.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Peng. “Novel Uncertainty Quantification Techniques For Problems Described By Stochastic Partial Differential Equations .” 2014. Web. 27 May 2019.

Vancouver:

Chen P. Novel Uncertainty Quantification Techniques For Problems Described By Stochastic Partial Differential Equations . [Internet] [Thesis]. Cornell University; 2014. [cited 2019 May 27]. Available from: http://hdl.handle.net/1813/38898.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cornell University

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

Degree: 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 . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/40658

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):

Kristensen, Jesper. “Uncertainty Quantification With Surrogate Models In Alloy Modeling .” 2015. Thesis, Cornell University. Accessed May 27, 2019. http://hdl.handle.net/1813/40658.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kristensen, Jesper. “Uncertainty Quantification With Surrogate Models In Alloy Modeling .” 2015. Web. 27 May 2019.

Vancouver:

Kristensen J. Uncertainty Quantification With Surrogate Models In Alloy Modeling . [Internet] [Thesis]. Cornell University; 2015. [cited 2019 May 27]. Available from: http://hdl.handle.net/1813/40658.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

27. 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 May 27, 2019. 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. 27 May 2019.

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 2019 May 27]. 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

28. -7179-9831. Quantifying and constraining the cloud radiative feedback in perturbed physics Community Atmosphere Model ensembles.

Degree: Geological Sciences, 2018, University of Texas – Austin

 Predictions of the sensitivity of the earth's surface temperature to changes in atmospheric CO₂ depend on the highly uncertain cloud radiative feedback. How will clouds… (more)

Subjects/Keywords: Cloud feedback; Uncertainty quantification; UQ; Climate change

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APA (6th Edition):

-7179-9831. (2018). Quantifying and constraining the cloud radiative feedback in perturbed physics Community Atmosphere Model ensembles. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68932

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-7179-9831. “Quantifying and constraining the cloud radiative feedback in perturbed physics Community Atmosphere Model ensembles.” 2018. Thesis, University of Texas – Austin. Accessed May 27, 2019. http://hdl.handle.net/2152/68932.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-7179-9831. “Quantifying and constraining the cloud radiative feedback in perturbed physics Community Atmosphere Model ensembles.” 2018. Web. 27 May 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7179-9831. Quantifying and constraining the cloud radiative feedback in perturbed physics Community Atmosphere Model ensembles. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 May 27]. Available from: http://hdl.handle.net/2152/68932.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-7179-9831. Quantifying and constraining the cloud radiative feedback in perturbed physics Community Atmosphere Model ensembles. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68932

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of New South Wales

29. Pathiraja, Sahani. Improving Data Assimilation Algorithms for Enhanced Environmental Predictions.

Degree: Civil & Environmental Engineering, 2018, University of New South Wales

 Data Assimilation (DA) methods provide a means of combining model output with observations based on their respective uncertainties. They are considered an invaluable tool in… (more)

Subjects/Keywords: Uncertainty quantification; Data assimilation; Forecasting; Hydrology; Meteorology

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APA (6th Edition):

Pathiraja, S. (2018). Improving Data Assimilation Algorithms for Enhanced Environmental Predictions. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/59579 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49002/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Pathiraja, Sahani. “Improving Data Assimilation Algorithms for Enhanced Environmental Predictions.” 2018. Doctoral Dissertation, University of New South Wales. Accessed May 27, 2019. http://handle.unsw.edu.au/1959.4/59579 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49002/SOURCE02?view=true.

MLA Handbook (7th Edition):

Pathiraja, Sahani. “Improving Data Assimilation Algorithms for Enhanced Environmental Predictions.” 2018. Web. 27 May 2019.

Vancouver:

Pathiraja S. Improving Data Assimilation Algorithms for Enhanced Environmental Predictions. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2019 May 27]. Available from: http://handle.unsw.edu.au/1959.4/59579 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49002/SOURCE02?view=true.

Council of Science Editors:

Pathiraja S. Improving Data Assimilation Algorithms for Enhanced Environmental Predictions. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/59579 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49002/SOURCE02?view=true


University of New South Wales

30. Green, David. Probabilistic analysis for computational mechanics with applications in Civil Engineering.

Degree: Civil & Environmental Engineering, 2018, University of New South Wales

 This thesis explores Uncertainty Quantification for probabilistic models of physical systems. In particular, the thesis works towards a long term goal of automating numerical methods… (more)

Subjects/Keywords: Monte Carlo Sampling; Uncertainty Quantification; Probabilistic Mechanics

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APA (6th Edition):

Green, D. (2018). Probabilistic analysis for computational mechanics with applications in Civil Engineering. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/59691 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49341/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Green, David. “Probabilistic analysis for computational mechanics with applications in Civil Engineering.” 2018. Doctoral Dissertation, University of New South Wales. Accessed May 27, 2019. http://handle.unsw.edu.au/1959.4/59691 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49341/SOURCE02?view=true.

MLA Handbook (7th Edition):

Green, David. “Probabilistic analysis for computational mechanics with applications in Civil Engineering.” 2018. Web. 27 May 2019.

Vancouver:

Green D. Probabilistic analysis for computational mechanics with applications in Civil Engineering. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2019 May 27]. Available from: http://handle.unsw.edu.au/1959.4/59691 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49341/SOURCE02?view=true.

Council of Science Editors:

Green D. Probabilistic analysis for computational mechanics with applications in Civil Engineering. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/59691 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49341/SOURCE02?view=true

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