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University of Southern California

1.
Wang, Li.
* Modeling* and analysis of nanostructure growth process
kinetics and variations for scalable nanomanufacturing.

Degree: PhD, Industrial and Systems Engineering, 2013, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347602/rec/4115

► Nanomanufacturing is currently a major bottleneck that hinders the transformation of nanotechnology from laboratory to industrial applications. Due to both limited process understanding and control,…
(more)

Subjects/Keywords: statistical modeling; nano; Bayesian hierarchical model

Record Details Similar Records

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

APA (6^{th} Edition):

Wang, L. (2013). Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347602/rec/4115

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

Wang, Li. “Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347602/rec/4115.

MLA Handbook (7^{th} Edition):

Wang, Li. “Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing.” 2013. Web. 18 Oct 2019.

Vancouver:

Wang L. Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347602/rec/4115.

Council of Science Editors:

Wang L. Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347602/rec/4115

Massey University

2. Fitch, Anne Marie. Computationally tractable fitting of graphical models : the cost and benefits of decomposable Bayesian and penalized likelihood approaches.

Degree: PhD, Statistics, 2012, Massey University

URL: http://hdl.handle.net/10179/3659

► Gaussian graphical models are a useful tool for eliciting information about relationships in data with a multivariate normal distribution. In the rst part of this…
(more)

Subjects/Keywords: Graphical modeling (Statistics); Bayesian statistical decision theory

Record Details Similar Records

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

APA (6^{th} Edition):

Fitch, A. M. (2012). Computationally tractable fitting of graphical models : the cost and benefits of decomposable Bayesian and penalized likelihood approaches. (Doctoral Dissertation). Massey University. Retrieved from http://hdl.handle.net/10179/3659

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

Fitch, Anne Marie. “Computationally tractable fitting of graphical models : the cost and benefits of decomposable Bayesian and penalized likelihood approaches.” 2012. Doctoral Dissertation, Massey University. Accessed October 18, 2019. http://hdl.handle.net/10179/3659.

MLA Handbook (7^{th} Edition):

Fitch, Anne Marie. “Computationally tractable fitting of graphical models : the cost and benefits of decomposable Bayesian and penalized likelihood approaches.” 2012. Web. 18 Oct 2019.

Vancouver:

Fitch AM. Computationally tractable fitting of graphical models : the cost and benefits of decomposable Bayesian and penalized likelihood approaches. [Internet] [Doctoral dissertation]. Massey University; 2012. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10179/3659.

Council of Science Editors:

Fitch AM. Computationally tractable fitting of graphical models : the cost and benefits of decomposable Bayesian and penalized likelihood approaches. [Doctoral Dissertation]. Massey University; 2012. Available from: http://hdl.handle.net/10179/3659

University of Illinois – Urbana-Champaign

3. Sun, Xiaochun. Models and methods for computer simulations as a resource in plant breeding.

Degree: PhD, 0030, 2012, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/31912

► A number of crucial decisions face the plant breeder in developing improved cultivars. Because of the impact and modern complexity of these decisions, computer simulation…
(more)

Subjects/Keywords: Statistical modeling; computer simulation; plant breeding

Record Details Similar Records

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

APA (6^{th} Edition):

Sun, X. (2012). Models and methods for computer simulations as a resource in plant breeding. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/31912

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

Sun, Xiaochun. “Models and methods for computer simulations as a resource in plant breeding.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 18, 2019. http://hdl.handle.net/2142/31912.

MLA Handbook (7^{th} Edition):

Sun, Xiaochun. “Models and methods for computer simulations as a resource in plant breeding.” 2012. Web. 18 Oct 2019.

Vancouver:

Sun X. Models and methods for computer simulations as a resource in plant breeding. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/2142/31912.

Council of Science Editors:

Sun X. Models and methods for computer simulations as a resource in plant breeding. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/31912

Boston College

4. Zhang, Lu. Analysis and Interpretation of Complex Lipidomic Data Using Bioinformatic Approaches.

Degree: PhD, Biology, 2012, Boston College

URL: http://dlib.bc.edu/islandora/object/bc-ir:101631

► The field of lipidomics has rapidly progressed since its inception only a decade ago. Technological revolutions in mass spectrometry, chromatography, and computational biology now enables…
(more)

Subjects/Keywords: bioinformatic; computational; dynamics; lipidomics; modeling; statistical

Record Details Similar Records

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

APA (6^{th} Edition):

Zhang, L. (2012). Analysis and Interpretation of Complex Lipidomic Data Using Bioinformatic Approaches. (Doctoral Dissertation). Boston College. Retrieved from http://dlib.bc.edu/islandora/object/bc-ir:101631

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

Zhang, Lu. “Analysis and Interpretation of Complex Lipidomic Data Using Bioinformatic Approaches.” 2012. Doctoral Dissertation, Boston College. Accessed October 18, 2019. http://dlib.bc.edu/islandora/object/bc-ir:101631.

MLA Handbook (7^{th} Edition):

Zhang, Lu. “Analysis and Interpretation of Complex Lipidomic Data Using Bioinformatic Approaches.” 2012. Web. 18 Oct 2019.

Vancouver:

Zhang L. Analysis and Interpretation of Complex Lipidomic Data Using Bioinformatic Approaches. [Internet] [Doctoral dissertation]. Boston College; 2012. [cited 2019 Oct 18]. Available from: http://dlib.bc.edu/islandora/object/bc-ir:101631.

Council of Science Editors:

Zhang L. Analysis and Interpretation of Complex Lipidomic Data Using Bioinformatic Approaches. [Doctoral Dissertation]. Boston College; 2012. Available from: http://dlib.bc.edu/islandora/object/bc-ir:101631

University of Southern California

5.
Lee, Kun-Han.
Investigating *statistical* *modeling* approaches for reservoir
characterization in waterfloods from rates fluctuations.

Degree: PhD, Electrical Engineering, 2010, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/417046/rec/3622

► Reservoir characterization is important for reservoir management and performance optimization. For waterflood optimization, traditionally several techniques have been suggested, most of which are either too…
(more)

Subjects/Keywords: statistical modeling; preditive model; waterflood; interwell connectivity

Record Details Similar Records

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

APA (6^{th} Edition):

Lee, K. (2010). Investigating statistical modeling approaches for reservoir characterization in waterfloods from rates fluctuations. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/417046/rec/3622

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

Lee, Kun-Han. “Investigating statistical modeling approaches for reservoir characterization in waterfloods from rates fluctuations.” 2010. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/417046/rec/3622.

MLA Handbook (7^{th} Edition):

Lee, Kun-Han. “Investigating statistical modeling approaches for reservoir characterization in waterfloods from rates fluctuations.” 2010. Web. 18 Oct 2019.

Vancouver:

Lee K. Investigating statistical modeling approaches for reservoir characterization in waterfloods from rates fluctuations. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/417046/rec/3622.

Council of Science Editors:

Lee K. Investigating statistical modeling approaches for reservoir characterization in waterfloods from rates fluctuations. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/417046/rec/3622

University of Texas – Austin

6.
-1969-3778.
*Statistical**modeling* of disease emergence.

Degree: PhD, Ecology, Evolution, and Behavior, 2018, University of Texas – Austin

URL: http://hdl.handle.net/2152/68092

► Infectious diseases seem to be appearing at an unprecedented rate: within the last few years alone, a sequence of novel diseases like MERS-CoV, Chikungunya, and…
(more)

Subjects/Keywords: Epidemiology; Emergence; Statistical modeling; Zika; Pandemic flu

Record Details Similar Records

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

APA (6^{th} Edition):

-1969-3778. (2018). Statistical modeling of disease emergence. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68092

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

Author name may be incomplete

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

-1969-3778. “Statistical modeling of disease emergence.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed October 18, 2019. http://hdl.handle.net/2152/68092.

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

Author name may be incomplete

MLA Handbook (7^{th} Edition):

-1969-3778. “Statistical modeling of disease emergence.” 2018. Web. 18 Oct 2019.

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

Author name may be incomplete

Vancouver:

-1969-3778. Statistical modeling of disease emergence. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/2152/68092.

Author name may be incomplete

Council of Science Editors:

-1969-3778. Statistical modeling of disease emergence. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68092

Author name may be incomplete

Purdue University

7.
Zhang, Ruoqiao.
Advanced *Statistical* *Modeling* for Model-Based Iterative Reconstruction for Single-Energy and Dual-Energy X-Ray CT.

Degree: PhD, Electrical and Computer Engineering, 2015, Purdue University

URL: https://docs.lib.purdue.edu/open_access_dissertations/1330

► Model-based iterative reconstruction (MBIR) has been increasingly broadly applied as an improvement over traditional, analytical image reconstruction methods in X-ray CT, primarily due to its…
(more)

Subjects/Keywords: Computed tomography; Model-based iterative reconstruction; Prior modeling; Statistical modeling

Record Details Similar Records

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

APA (6^{th} Edition):

Zhang, R. (2015). Advanced Statistical Modeling for Model-Based Iterative Reconstruction for Single-Energy and Dual-Energy X-Ray CT. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/1330

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

Zhang, Ruoqiao. “Advanced Statistical Modeling for Model-Based Iterative Reconstruction for Single-Energy and Dual-Energy X-Ray CT.” 2015. Doctoral Dissertation, Purdue University. Accessed October 18, 2019. https://docs.lib.purdue.edu/open_access_dissertations/1330.

MLA Handbook (7^{th} Edition):

Zhang, Ruoqiao. “Advanced Statistical Modeling for Model-Based Iterative Reconstruction for Single-Energy and Dual-Energy X-Ray CT.” 2015. Web. 18 Oct 2019.

Vancouver:

Zhang R. Advanced Statistical Modeling for Model-Based Iterative Reconstruction for Single-Energy and Dual-Energy X-Ray CT. [Internet] [Doctoral dissertation]. Purdue University; 2015. [cited 2019 Oct 18]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1330.

Council of Science Editors:

Zhang R. Advanced Statistical Modeling for Model-Based Iterative Reconstruction for Single-Energy and Dual-Energy X-Ray CT. [Doctoral Dissertation]. Purdue University; 2015. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1330

University of Illinois – Urbana-Champaign

8. Ghandchi, Frederick Pejman. Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation.

Degree: PhD, Crop Sciences, 2016, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/92716

► Chlorophyll is a vital compound in photosynthesis in plants and as such both its biosynthesis and degradation are tightly regulated. Disruption of the regulatory pathway…
(more)

Subjects/Keywords: Data Science; Data Engineering; Data Analysis; Computational Analysis; Statistical Programming; Database Development; Statistical Modeling; Genomics

Record Details Similar Records

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APA (6^{th} Edition):

Ghandchi, F. P. (2016). Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/92716

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

Ghandchi, Frederick Pejman. “Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 18, 2019. http://hdl.handle.net/2142/92716.

MLA Handbook (7^{th} Edition):

Ghandchi, Frederick Pejman. “Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation.” 2016. Web. 18 Oct 2019.

Vancouver:

Ghandchi FP. Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/2142/92716.

Council of Science Editors:

Ghandchi FP. Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/92716

University of Utah

9.
Ananthanarayanan, Peruvemba Ranganathan Sai.
Enabling multiantenna wireless communication in aircraft: channel *modeling*, interference and noise analysis, and antenna and detector optimization.

Degree: PhD, Electrical & Computer Engineering;, 2010, University of Utah

URL: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/256/rec/415

► Wireless data transfer in aircraft has been identified as a 'transformative' technology for aviation. Numerous sensors for improving safety and reliability have been proposed for…
(more)

Subjects/Keywords: 3D ray-tracing; Aircraft channel modeling; Antenna design; Interference and noise; Optimization; Statistical modeling

Record Details Similar Records

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

APA (6^{th} Edition):

Ananthanarayanan, P. R. S. (2010). Enabling multiantenna wireless communication in aircraft: channel modeling, interference and noise analysis, and antenna and detector optimization. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/256/rec/415

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

Ananthanarayanan, Peruvemba Ranganathan Sai. “Enabling multiantenna wireless communication in aircraft: channel modeling, interference and noise analysis, and antenna and detector optimization.” 2010. Doctoral Dissertation, University of Utah. Accessed October 18, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/256/rec/415.

MLA Handbook (7^{th} Edition):

Ananthanarayanan, Peruvemba Ranganathan Sai. “Enabling multiantenna wireless communication in aircraft: channel modeling, interference and noise analysis, and antenna and detector optimization.” 2010. Web. 18 Oct 2019.

Vancouver:

Ananthanarayanan PRS. Enabling multiantenna wireless communication in aircraft: channel modeling, interference and noise analysis, and antenna and detector optimization. [Internet] [Doctoral dissertation]. University of Utah; 2010. [cited 2019 Oct 18]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/256/rec/415.

Council of Science Editors:

Ananthanarayanan PRS. Enabling multiantenna wireless communication in aircraft: channel modeling, interference and noise analysis, and antenna and detector optimization. [Doctoral Dissertation]. University of Utah; 2010. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/256/rec/415

University of Vermont

10. Montague, James. Assessing The Probability Of Fluid Migration Caused By Hydraulic Fracturing; And Investigating Flow And Transport In Porous Media Using Mri.

Degree: PhD, Civil and Environmental Engineering, 2017, University of Vermont

URL: https://scholarworks.uvm.edu/graddis/793

► Hydraulic fracturing is used to extract oil and natural gas from low permeability formations. The potential of fluids migrating from depth through adjacent wellbores…
(more)

Subjects/Keywords: Contaminant Transport; Groundwater Modeling; Hydraulic Fracturing; Magnetic Resonance Imaging; Statistical Modeling; Environmental Engineering

Record Details Similar Records

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

APA (6^{th} Edition):

Montague, J. (2017). Assessing The Probability Of Fluid Migration Caused By Hydraulic Fracturing; And Investigating Flow And Transport In Porous Media Using Mri. (Doctoral Dissertation). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/793

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

Montague, James. “Assessing The Probability Of Fluid Migration Caused By Hydraulic Fracturing; And Investigating Flow And Transport In Porous Media Using Mri.” 2017. Doctoral Dissertation, University of Vermont. Accessed October 18, 2019. https://scholarworks.uvm.edu/graddis/793.

MLA Handbook (7^{th} Edition):

Montague, James. “Assessing The Probability Of Fluid Migration Caused By Hydraulic Fracturing; And Investigating Flow And Transport In Porous Media Using Mri.” 2017. Web. 18 Oct 2019.

Vancouver:

Montague J. Assessing The Probability Of Fluid Migration Caused By Hydraulic Fracturing; And Investigating Flow And Transport In Porous Media Using Mri. [Internet] [Doctoral dissertation]. University of Vermont; 2017. [cited 2019 Oct 18]. Available from: https://scholarworks.uvm.edu/graddis/793.

Council of Science Editors:

Montague J. Assessing The Probability Of Fluid Migration Caused By Hydraulic Fracturing; And Investigating Flow And Transport In Porous Media Using Mri. [Doctoral Dissertation]. University of Vermont; 2017. Available from: https://scholarworks.uvm.edu/graddis/793

University of Vermont

11. Montague, James. Assessing The Probability Of Fluid Migration Caused By Hydraulic Fracturing; And Investigating Flow And Transport In Porous Media Using Mri.

Degree: PhD, Civil and Environmental Engineering, 2017, University of Vermont

URL: https://scholarworks.uvm.edu/graddis/900

► Hydraulic fracturing is used to extract oil and natural gas from low permeability formations. The potential of fluids migrating from depth through adjacent wellbores…
(more)

Subjects/Keywords: Contaminant Transport; Groundwater Modeling; Hydraulic Fracturing; Magnetic Resonance Imaging; Statistical Modeling; Environmental Engineering

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Montague, J. (2017). Assessing The Probability Of Fluid Migration Caused By Hydraulic Fracturing; And Investigating Flow And Transport In Porous Media Using Mri. (Doctoral Dissertation). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/900

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

Montague, James. “Assessing The Probability Of Fluid Migration Caused By Hydraulic Fracturing; And Investigating Flow And Transport In Porous Media Using Mri.” 2017. Doctoral Dissertation, University of Vermont. Accessed October 18, 2019. https://scholarworks.uvm.edu/graddis/900.

MLA Handbook (7^{th} Edition):

Montague, James. “Assessing The Probability Of Fluid Migration Caused By Hydraulic Fracturing; And Investigating Flow And Transport In Porous Media Using Mri.” 2017. Web. 18 Oct 2019.

Vancouver:

Montague J. Assessing The Probability Of Fluid Migration Caused By Hydraulic Fracturing; And Investigating Flow And Transport In Porous Media Using Mri. [Internet] [Doctoral dissertation]. University of Vermont; 2017. [cited 2019 Oct 18]. Available from: https://scholarworks.uvm.edu/graddis/900.

Council of Science Editors:

Montague J. Assessing The Probability Of Fluid Migration Caused By Hydraulic Fracturing; And Investigating Flow And Transport In Porous Media Using Mri. [Doctoral Dissertation]. University of Vermont; 2017. Available from: https://scholarworks.uvm.edu/graddis/900

University of Colorado

12.
Suchetana, Bihu.
Performance-Based *Modeling* of Spatial and Temporal Variability of Treated Wastewater Quality for Improved Nutrient Management.

Degree: PhD, 2018, University of Colorado

URL: https://scholar.colorado.edu/cven_gradetds/374

► The United States Environmental Protection Agency (U.S.EPA) has identified nutrient pollution as the leading cause of use impairment in U.S. waters. Consequently, for improved…
(more)

Subjects/Keywords: nutrient management; performance-based modeling; statistical modeling; wastewater; multinomial logistic regression; Environmental Engineering; Nutrition

Record Details Similar Records

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

APA (6^{th} Edition):

Suchetana, B. (2018). Performance-Based Modeling of Spatial and Temporal Variability of Treated Wastewater Quality for Improved Nutrient Management. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/cven_gradetds/374

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

Suchetana, Bihu. “Performance-Based Modeling of Spatial and Temporal Variability of Treated Wastewater Quality for Improved Nutrient Management.” 2018. Doctoral Dissertation, University of Colorado. Accessed October 18, 2019. https://scholar.colorado.edu/cven_gradetds/374.

MLA Handbook (7^{th} Edition):

Suchetana, Bihu. “Performance-Based Modeling of Spatial and Temporal Variability of Treated Wastewater Quality for Improved Nutrient Management.” 2018. Web. 18 Oct 2019.

Vancouver:

Suchetana B. Performance-Based Modeling of Spatial and Temporal Variability of Treated Wastewater Quality for Improved Nutrient Management. [Internet] [Doctoral dissertation]. University of Colorado; 2018. [cited 2019 Oct 18]. Available from: https://scholar.colorado.edu/cven_gradetds/374.

Council of Science Editors:

Suchetana B. Performance-Based Modeling of Spatial and Temporal Variability of Treated Wastewater Quality for Improved Nutrient Management. [Doctoral Dissertation]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/cven_gradetds/374

Purdue University

13. Faust, Kasey Mariko. IMPACT ASSESSMENT OF URBAN DECLINE ON COUPLED HUMAN AND WATER SECTOR INFRASTRUCTURE SYSTEMS.

Degree: PhD, Civil Engineering, 2015, Purdue University

URL: https://docs.lib.purdue.edu/open_access_dissertations/1187

► Urban decline in once vibrant cities has introduced many challenges to managing civil infrastructure. The fixed infrastructure footprint does not contract with the declining population,…
(more)

Subjects/Keywords: Hydraulic modeling; Network analyses; Shrinking cities; Statistical modeling; Survey analyses; System dynamics

Record Details Similar Records

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

APA (6^{th} Edition):

Faust, K. M. (2015). IMPACT ASSESSMENT OF URBAN DECLINE ON COUPLED HUMAN AND WATER SECTOR INFRASTRUCTURE SYSTEMS. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/1187

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

Faust, Kasey Mariko. “IMPACT ASSESSMENT OF URBAN DECLINE ON COUPLED HUMAN AND WATER SECTOR INFRASTRUCTURE SYSTEMS.” 2015. Doctoral Dissertation, Purdue University. Accessed October 18, 2019. https://docs.lib.purdue.edu/open_access_dissertations/1187.

MLA Handbook (7^{th} Edition):

Faust, Kasey Mariko. “IMPACT ASSESSMENT OF URBAN DECLINE ON COUPLED HUMAN AND WATER SECTOR INFRASTRUCTURE SYSTEMS.” 2015. Web. 18 Oct 2019.

Vancouver:

Faust KM. IMPACT ASSESSMENT OF URBAN DECLINE ON COUPLED HUMAN AND WATER SECTOR INFRASTRUCTURE SYSTEMS. [Internet] [Doctoral dissertation]. Purdue University; 2015. [cited 2019 Oct 18]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1187.

Council of Science Editors:

Faust KM. IMPACT ASSESSMENT OF URBAN DECLINE ON COUPLED HUMAN AND WATER SECTOR INFRASTRUCTURE SYSTEMS. [Doctoral Dissertation]. Purdue University; 2015. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1187

14.
Fontoura Cupertino, Leandro.
* Modeling* the power consumption of computing systems and applications through machine learning techniques : Modélisation de la consommation énergétique des systèmes informatiques et ses applications grâce à des techniques d'apprentissage automatique.

Degree: Docteur es, Réseaux, télécoms, systèmes et architecture, 2015, Université Toulouse III – Paul Sabatier

URL: http://www.theses.fr/2015TOU30073

► Au cours des dernières années, le nombre de systèmes informatiques n'a pas cesser d'augmenter. Les centres de données sont peu à peu devenus des équipements…
(more)

Subjects/Keywords: Power aware computing; Machine learning; Statistical modeling; Application power models

Record Details Similar Records

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

APA (6^{th} Edition):

Fontoura Cupertino, L. (2015). Modeling the power consumption of computing systems and applications through machine learning techniques : Modélisation de la consommation énergétique des systèmes informatiques et ses applications grâce à des techniques d'apprentissage automatique. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2015TOU30073

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

Fontoura Cupertino, Leandro. “Modeling the power consumption of computing systems and applications through machine learning techniques : Modélisation de la consommation énergétique des systèmes informatiques et ses applications grâce à des techniques d'apprentissage automatique.” 2015. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed October 18, 2019. http://www.theses.fr/2015TOU30073.

MLA Handbook (7^{th} Edition):

Fontoura Cupertino, Leandro. “Modeling the power consumption of computing systems and applications through machine learning techniques : Modélisation de la consommation énergétique des systèmes informatiques et ses applications grâce à des techniques d'apprentissage automatique.” 2015. Web. 18 Oct 2019.

Vancouver:

Fontoura Cupertino L. Modeling the power consumption of computing systems and applications through machine learning techniques : Modélisation de la consommation énergétique des systèmes informatiques et ses applications grâce à des techniques d'apprentissage automatique. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2015. [cited 2019 Oct 18]. Available from: http://www.theses.fr/2015TOU30073.

Council of Science Editors:

Fontoura Cupertino L. Modeling the power consumption of computing systems and applications through machine learning techniques : Modélisation de la consommation énergétique des systèmes informatiques et ses applications grâce à des techniques d'apprentissage automatique. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2015. Available from: http://www.theses.fr/2015TOU30073

Virginia Commonwealth University

15.
Elyas, Seyyed Hamid, 8045266.
Synthetic *Modeling* of Power Grids Based on *Statistical* Analysis.

Degree: PhD, Engineering, 2017, Virginia Commonwealth University

URL: https://scholarscompass.vcu.edu/etd/4888

► The development of new concepts and methods for improving the efficiency of power networks needs performance evaluation with realistic grid topology. However, much of…
(more)

Subjects/Keywords: Synthetic power grid; Statistical analysis; Power grid modeling; Power grid topology

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APA (6^{th} Edition):

Elyas, Seyyed Hamid, 8. (2017). Synthetic Modeling of Power Grids Based on Statistical Analysis. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/4888

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

Elyas, Seyyed Hamid, 8045266. “Synthetic Modeling of Power Grids Based on Statistical Analysis.” 2017. Doctoral Dissertation, Virginia Commonwealth University. Accessed October 18, 2019. https://scholarscompass.vcu.edu/etd/4888.

MLA Handbook (7^{th} Edition):

Elyas, Seyyed Hamid, 8045266. “Synthetic Modeling of Power Grids Based on Statistical Analysis.” 2017. Web. 18 Oct 2019.

Vancouver:

Elyas, Seyyed Hamid 8. Synthetic Modeling of Power Grids Based on Statistical Analysis. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2017. [cited 2019 Oct 18]. Available from: https://scholarscompass.vcu.edu/etd/4888.

Council of Science Editors:

Elyas, Seyyed Hamid 8. Synthetic Modeling of Power Grids Based on Statistical Analysis. [Doctoral Dissertation]. Virginia Commonwealth University; 2017. Available from: https://scholarscompass.vcu.edu/etd/4888

University of Minnesota

16.
Chatterjee, Soumyadeep.
High Dimensional *Statistical* Models: Applications to Climate.

Degree: PhD, Computer Science, 2015, University of Minnesota

URL: http://hdl.handle.net/11299/175549

► Recent years have seen enormous growth in collection and curation of datasets in various domains which often involve thousands or even millions of variables. Examples…
(more)

Subjects/Keywords: Climate Science; Machine Learning; Regression; Regularization; Statistical Modeling

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APA (6^{th} Edition):

Chatterjee, S. (2015). High Dimensional Statistical Models: Applications to Climate. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/175549

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

Chatterjee, Soumyadeep. “High Dimensional Statistical Models: Applications to Climate.” 2015. Doctoral Dissertation, University of Minnesota. Accessed October 18, 2019. http://hdl.handle.net/11299/175549.

MLA Handbook (7^{th} Edition):

Chatterjee, Soumyadeep. “High Dimensional Statistical Models: Applications to Climate.” 2015. Web. 18 Oct 2019.

Vancouver:

Chatterjee S. High Dimensional Statistical Models: Applications to Climate. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/11299/175549.

Council of Science Editors:

Chatterjee S. High Dimensional Statistical Models: Applications to Climate. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/175549

University of Minnesota

17. Bai, Peng. Molecular Simulation of Adsorption in Zeolites.

Degree: PhD, Material Science and Engineering, 2014, University of Minnesota

URL: http://hdl.handle.net/11299/182735

► Zeolites are a class of crystalline nanoporous materials that are widely used as catalysts, sorbents, and ion-exchangers. Zeolites have revolutionized the petroleum industry and have…
(more)

Subjects/Keywords: Adsorption; Microporous Materials; Molecular Modeling; Monte Carlo; Statistical Mechanics; Zeolites

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APA (6^{th} Edition):

Bai, P. (2014). Molecular Simulation of Adsorption in Zeolites. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/182735

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

Bai, Peng. “Molecular Simulation of Adsorption in Zeolites.” 2014. Doctoral Dissertation, University of Minnesota. Accessed October 18, 2019. http://hdl.handle.net/11299/182735.

MLA Handbook (7^{th} Edition):

Bai, Peng. “Molecular Simulation of Adsorption in Zeolites.” 2014. Web. 18 Oct 2019.

Vancouver:

Bai P. Molecular Simulation of Adsorption in Zeolites. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/11299/182735.

Council of Science Editors:

Bai P. Molecular Simulation of Adsorption in Zeolites. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/182735

Rice University

18.
Li, Biao.
Stochastic *Modeling* and Simulation of Biological Phenomena with Applications in Population Genetics and in Cell Populations.

Degree: PhD, Engineering, 2013, Rice University

URL: http://hdl.handle.net/1911/77206

► Stochastic *modeling* and simulation play important roles in population genetics, *statistical* genetics, cell biology, molecular biology and evolutionary theory. This thesis explores four aspects of…
(more)

Subjects/Keywords: Stochastic process; Simulation; Statistical genomics; Population genetics; Cell population; Mathematical modeling

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APA (6^{th} Edition):

Li, B. (2013). Stochastic Modeling and Simulation of Biological Phenomena with Applications in Population Genetics and in Cell Populations. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/77206

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

Li, Biao. “Stochastic Modeling and Simulation of Biological Phenomena with Applications in Population Genetics and in Cell Populations.” 2013. Doctoral Dissertation, Rice University. Accessed October 18, 2019. http://hdl.handle.net/1911/77206.

MLA Handbook (7^{th} Edition):

Li, Biao. “Stochastic Modeling and Simulation of Biological Phenomena with Applications in Population Genetics and in Cell Populations.” 2013. Web. 18 Oct 2019.

Vancouver:

Li B. Stochastic Modeling and Simulation of Biological Phenomena with Applications in Population Genetics and in Cell Populations. [Internet] [Doctoral dissertation]. Rice University; 2013. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1911/77206.

Council of Science Editors:

Li B. Stochastic Modeling and Simulation of Biological Phenomena with Applications in Population Genetics and in Cell Populations. [Doctoral Dissertation]. Rice University; 2013. Available from: http://hdl.handle.net/1911/77206

University of Notre Dame

19.
Robert Anthony Perera.
Examining Simultaneous Power in Structural Equation
*Modeling*</h1>.

Degree: PhD, Psychology, 2013, University of Notre Dame

URL: https://curate.nd.edu/show/sb397655n8q

► *Statistical* power is typically thought of univariately. However, the most common *statistical* models are multivariate, i.e., multiple regression and structural equation *modeling*. Researchers are…
(more)

Subjects/Keywords: power; statistical power; Structural Equation Modeling; SEM; type II errors

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APA (6^{th} Edition):

Perera, R. A. (2013). Examining Simultaneous Power in Structural Equation Modeling</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/sb397655n8q

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

Perera, Robert Anthony. “Examining Simultaneous Power in Structural Equation Modeling</h1>.” 2013. Doctoral Dissertation, University of Notre Dame. Accessed October 18, 2019. https://curate.nd.edu/show/sb397655n8q.

MLA Handbook (7^{th} Edition):

Perera, Robert Anthony. “Examining Simultaneous Power in Structural Equation Modeling</h1>.” 2013. Web. 18 Oct 2019.

Vancouver:

Perera RA. Examining Simultaneous Power in Structural Equation Modeling</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2013. [cited 2019 Oct 18]. Available from: https://curate.nd.edu/show/sb397655n8q.

Council of Science Editors:

Perera RA. Examining Simultaneous Power in Structural Equation Modeling</h1>. [Doctoral Dissertation]. University of Notre Dame; 2013. Available from: https://curate.nd.edu/show/sb397655n8q

University of Southern California

20.
Yan, Xiting.
*Statistical**modeling* of sequence and gene expression data to
infer gene regulatory networks.

Degree: PhD, Molecular & Computational Biology, 2009, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/175848/rec/6046

► Understanding the gene regulatory network has always been one of the important and challenging tasks to understanding the mechanisms behind different biological processes or behaviors…
(more)

Subjects/Keywords: sequence; gene expression; regulatory networks; data analysis; statistical modeling; inference

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APA (6^{th} Edition):

Yan, X. (2009). Statistical modeling of sequence and gene expression data to infer gene regulatory networks. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/175848/rec/6046

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

Yan, Xiting. “Statistical modeling of sequence and gene expression data to infer gene regulatory networks.” 2009. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/175848/rec/6046.

MLA Handbook (7^{th} Edition):

Yan, Xiting. “Statistical modeling of sequence and gene expression data to infer gene regulatory networks.” 2009. Web. 18 Oct 2019.

Vancouver:

Yan X. Statistical modeling of sequence and gene expression data to infer gene regulatory networks. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/175848/rec/6046.

Council of Science Editors:

Yan X. Statistical modeling of sequence and gene expression data to infer gene regulatory networks. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/175848/rec/6046

Universitat Politècnica de València

21. Laguna Sanz, Alejandro José. Uncertainty in Postprandial Model Identification in type 1 Diabetes .

Degree: 2014, Universitat Politècnica de València

URL: http://hdl.handle.net/10251/37191

► Postprandial characterization of patients with type 1 diabetes is crucial for the development of an automatic glucose control system (Artificial Pancreas). Uncertainty sources within the…
(more)

Subjects/Keywords: Interval Model; Diabetes; Physiology; Uncertainty; Experiment Design; Statistical modeling; Identification; Variabilility

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APA (6^{th} Edition):

Laguna Sanz, A. J. (2014). Uncertainty in Postprandial Model Identification in type 1 Diabetes . (Doctoral Dissertation). Universitat Politècnica de València. Retrieved from http://hdl.handle.net/10251/37191

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

Laguna Sanz, Alejandro José. “Uncertainty in Postprandial Model Identification in type 1 Diabetes .” 2014. Doctoral Dissertation, Universitat Politècnica de València. Accessed October 18, 2019. http://hdl.handle.net/10251/37191.

MLA Handbook (7^{th} Edition):

Laguna Sanz, Alejandro José. “Uncertainty in Postprandial Model Identification in type 1 Diabetes .” 2014. Web. 18 Oct 2019.

Vancouver:

Laguna Sanz AJ. Uncertainty in Postprandial Model Identification in type 1 Diabetes . [Internet] [Doctoral dissertation]. Universitat Politècnica de València; 2014. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10251/37191.

Council of Science Editors:

Laguna Sanz AJ. Uncertainty in Postprandial Model Identification in type 1 Diabetes . [Doctoral Dissertation]. Universitat Politècnica de València; 2014. Available from: http://hdl.handle.net/10251/37191

University of New South Wales

22. Tan, Feiselia. UbiStore : an opportunistic backup architecture and its evaluation using an encounter-based mobility model.

Degree: Electrical Engineering & Telecommunications, 2010, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/45577 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8856/SOURCE02?view=true

► There are two main focuses of this thesis. The first is UbiStore, a novel distributed and opportunistic backup architecture, where mobile devices backup their data…
(more)

Subjects/Keywords: Pervasive computing; Statistical analysis; Mobility modeling; Opportunistic computing; Storage; Encounter traces

Record Details Similar Records

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

APA (6^{th} Edition):

Tan, F. (2010). UbiStore : an opportunistic backup architecture and its evaluation using an encounter-based mobility model. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/45577 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8856/SOURCE02?view=true

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

Tan, Feiselia. “UbiStore : an opportunistic backup architecture and its evaluation using an encounter-based mobility model.” 2010. Doctoral Dissertation, University of New South Wales. Accessed October 18, 2019. http://handle.unsw.edu.au/1959.4/45577 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8856/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Tan, Feiselia. “UbiStore : an opportunistic backup architecture and its evaluation using an encounter-based mobility model.” 2010. Web. 18 Oct 2019.

Vancouver:

Tan F. UbiStore : an opportunistic backup architecture and its evaluation using an encounter-based mobility model. [Internet] [Doctoral dissertation]. University of New South Wales; 2010. [cited 2019 Oct 18]. Available from: http://handle.unsw.edu.au/1959.4/45577 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8856/SOURCE02?view=true.

Council of Science Editors:

Tan F. UbiStore : an opportunistic backup architecture and its evaluation using an encounter-based mobility model. [Doctoral Dissertation]. University of New South Wales; 2010. Available from: http://handle.unsw.edu.au/1959.4/45577 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8856/SOURCE02?view=true

Boston University

23. Menon, Rajita. Network topology and community function in spatial microbial communities.

Degree: PhD, Physics, 2018, Boston University

URL: http://hdl.handle.net/2144/33133

► Complex communities of microbes act collectively to regulate human health, provide sources of clean energy, and ripen aromatic cheese. The efficient functioning of these communities…
(more)

Subjects/Keywords: Statistical physics; Interactions; Microbiome; Nonequilibrium phase transitions; Population genetics; Stochastic modeling

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APA (6^{th} Edition):

Menon, R. (2018). Network topology and community function in spatial microbial communities. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/33133

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

Menon, Rajita. “Network topology and community function in spatial microbial communities.” 2018. Doctoral Dissertation, Boston University. Accessed October 18, 2019. http://hdl.handle.net/2144/33133.

MLA Handbook (7^{th} Edition):

Menon, Rajita. “Network topology and community function in spatial microbial communities.” 2018. Web. 18 Oct 2019.

Vancouver:

Menon R. Network topology and community function in spatial microbial communities. [Internet] [Doctoral dissertation]. Boston University; 2018. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/2144/33133.

Council of Science Editors:

Menon R. Network topology and community function in spatial microbial communities. [Doctoral Dissertation]. Boston University; 2018. Available from: http://hdl.handle.net/2144/33133

Northeastern University

24. Shaker, Matineh. Manifold learning and unwrapping using density ridges.

Degree: PhD, Department of Electrical and Computer Engineering, 2016, Northeastern University

URL: http://hdl.handle.net/2047/D20260369

► Manifold learning is used for determining a coordinate system for high dimensional data on its intrinsic low-dimensional manifold, in order to (approximately) unwrap the manifold…
(more)

Subjects/Keywords: dimensionality reduction; machine learning; manifold learning; sparse learning; statistical modeling

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APA (6^{th} Edition):

Shaker, M. (2016). Manifold learning and unwrapping using density ridges. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20260369

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

Shaker, Matineh. “Manifold learning and unwrapping using density ridges.” 2016. Doctoral Dissertation, Northeastern University. Accessed October 18, 2019. http://hdl.handle.net/2047/D20260369.

MLA Handbook (7^{th} Edition):

Shaker, Matineh. “Manifold learning and unwrapping using density ridges.” 2016. Web. 18 Oct 2019.

Vancouver:

Shaker M. Manifold learning and unwrapping using density ridges. [Internet] [Doctoral dissertation]. Northeastern University; 2016. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/2047/D20260369.

Council of Science Editors:

Shaker M. Manifold learning and unwrapping using density ridges. [Doctoral Dissertation]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20260369

Colorado State University

25.
Tasdighi, Ali.
Confronting the natural variability and *modeling* uncertainty of nonpoint source pollution in water quality management.

Degree: PhD, Civil and Environmental Engineering, 2017, Colorado State University

URL: http://hdl.handle.net/10217/183976

► Nonpoint source pollution is the primary cause of impaired water bodies in the United States and around the world. Hence, managing the water quality is…
(more)

Subjects/Keywords: Hydrology; Modeling uncertainty; Water quality; Land use; BMP; Statistical analysis

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APA (6^{th} Edition):

Tasdighi, A. (2017). Confronting the natural variability and modeling uncertainty of nonpoint source pollution in water quality management. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/183976

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

Tasdighi, Ali. “Confronting the natural variability and modeling uncertainty of nonpoint source pollution in water quality management.” 2017. Doctoral Dissertation, Colorado State University. Accessed October 18, 2019. http://hdl.handle.net/10217/183976.

MLA Handbook (7^{th} Edition):

Tasdighi, Ali. “Confronting the natural variability and modeling uncertainty of nonpoint source pollution in water quality management.” 2017. Web. 18 Oct 2019.

Vancouver:

Tasdighi A. Confronting the natural variability and modeling uncertainty of nonpoint source pollution in water quality management. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10217/183976.

Council of Science Editors:

Tasdighi A. Confronting the natural variability and modeling uncertainty of nonpoint source pollution in water quality management. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/183976

Colorado State University

26.
Brogan, John.
Development of a decision threshold for radiological source detection utilizing Bayesian *statistical* techniques applied to gross count measurements.

Degree: PhD, Environmental and Radiological Health Sciences, 2018, Colorado State University

URL: http://hdl.handle.net/10217/191481

► Numerous studies have been published using Bayesian statistics in source localization and identification, characterization of radioactive samples, and uncertainty analysis; but there is a limited…
(more)

Subjects/Keywords: Decision Threshold; Gross Counts; Statistical Modeling; Detection; Bayesian Statistics; Radiation

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APA (6^{th} Edition):

Brogan, J. (2018). Development of a decision threshold for radiological source detection utilizing Bayesian statistical techniques applied to gross count measurements. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/191481

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

Brogan, John. “Development of a decision threshold for radiological source detection utilizing Bayesian statistical techniques applied to gross count measurements.” 2018. Doctoral Dissertation, Colorado State University. Accessed October 18, 2019. http://hdl.handle.net/10217/191481.

MLA Handbook (7^{th} Edition):

Brogan, John. “Development of a decision threshold for radiological source detection utilizing Bayesian statistical techniques applied to gross count measurements.” 2018. Web. 18 Oct 2019.

Vancouver:

Brogan J. Development of a decision threshold for radiological source detection utilizing Bayesian statistical techniques applied to gross count measurements. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10217/191481.

Council of Science Editors:

Brogan J. Development of a decision threshold for radiological source detection utilizing Bayesian statistical techniques applied to gross count measurements. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/191481

University of Arizona

27. Dawson, Colin Reimer. "Explaining-Away" Effects in Rule-Learning: Evidence for Generative Probabilistic Inference in Infants and Adults .

Degree: 2011, University of Arizona

URL: http://hdl.handle.net/10150/145270

► The human desire to explain the world is the driving force behind our species' rich history of scientific and technological advancement. The ability of successive…
(more)

Subjects/Keywords: Bayesian Modeling; Infant Cognition; Language Learning; Music Cognition; Statistical Learning

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APA (6^{th} Edition):

Dawson, C. R. (2011). "Explaining-Away" Effects in Rule-Learning: Evidence for Generative Probabilistic Inference in Infants and Adults . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/145270

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

Dawson, Colin Reimer. “"Explaining-Away" Effects in Rule-Learning: Evidence for Generative Probabilistic Inference in Infants and Adults .” 2011. Doctoral Dissertation, University of Arizona. Accessed October 18, 2019. http://hdl.handle.net/10150/145270.

MLA Handbook (7^{th} Edition):

Dawson, Colin Reimer. “"Explaining-Away" Effects in Rule-Learning: Evidence for Generative Probabilistic Inference in Infants and Adults .” 2011. Web. 18 Oct 2019.

Vancouver:

Dawson CR. "Explaining-Away" Effects in Rule-Learning: Evidence for Generative Probabilistic Inference in Infants and Adults . [Internet] [Doctoral dissertation]. University of Arizona; 2011. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10150/145270.

Council of Science Editors:

Dawson CR. "Explaining-Away" Effects in Rule-Learning: Evidence for Generative Probabilistic Inference in Infants and Adults . [Doctoral Dissertation]. University of Arizona; 2011. Available from: http://hdl.handle.net/10150/145270

Texas Medical Center

28. D'Amelio, Anthony M, Jr. Development of a Bayesian Joint Logistic Model to Better Study the Association between Haplotypes and Disease.

Degree: PhD, 2011, Texas Medical Center

URL: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/197

► In 2011, there will be an estimated 1,596,670 new cancer cases and 571,950 cancer-related deaths in the US. With the ever-increasing applications of cancer…
(more)

Subjects/Keywords: Bayesian; Haplotypes; Single Nucleotide Polymorphisms; Risk Modeling; Hodgkin; Lung Cancer; Glioma; HapMap; Biostatistics; Statistical Models; Statistical Theory

Record Details Similar Records

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

APA (6^{th} Edition):

D'Amelio, Anthony M, J. (2011). Development of a Bayesian Joint Logistic Model to Better Study the Association between Haplotypes and Disease. (Doctoral Dissertation). Texas Medical Center. Retrieved from http://digitalcommons.library.tmc.edu/utgsbs_dissertations/197

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

D'Amelio, Anthony M, Jr. “Development of a Bayesian Joint Logistic Model to Better Study the Association between Haplotypes and Disease.” 2011. Doctoral Dissertation, Texas Medical Center. Accessed October 18, 2019. http://digitalcommons.library.tmc.edu/utgsbs_dissertations/197.

MLA Handbook (7^{th} Edition):

D'Amelio, Anthony M, Jr. “Development of a Bayesian Joint Logistic Model to Better Study the Association between Haplotypes and Disease.” 2011. Web. 18 Oct 2019.

Vancouver:

D'Amelio, Anthony M J. Development of a Bayesian Joint Logistic Model to Better Study the Association between Haplotypes and Disease. [Internet] [Doctoral dissertation]. Texas Medical Center; 2011. [cited 2019 Oct 18]. Available from: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/197.

Council of Science Editors:

D'Amelio, Anthony M J. Development of a Bayesian Joint Logistic Model to Better Study the Association between Haplotypes and Disease. [Doctoral Dissertation]. Texas Medical Center; 2011. Available from: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/197

The Ohio State University

29.
Wang, Tao.
* Statistical* design and analysis of microarray
experiments.

Degree: PhD, Statistics, 2005, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1117201363

► Microarray, a bio-technology that allows monitoring of gene expressions for thousands of genes simultaneously, has revolutionized biological and genomic research and holds promising potentials in…
(more)

Subjects/Keywords: Statistics; microarray; gene expression; statistical analysis; modeling; statistical design

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APA (6^{th} Edition):

Wang, T. (2005). Statistical design and analysis of microarray experiments. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1117201363

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

Wang, Tao. “Statistical design and analysis of microarray experiments.” 2005. Doctoral Dissertation, The Ohio State University. Accessed October 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1117201363.

MLA Handbook (7^{th} Edition):

Wang, Tao. “Statistical design and analysis of microarray experiments.” 2005. Web. 18 Oct 2019.

Vancouver:

Wang T. Statistical design and analysis of microarray experiments. [Internet] [Doctoral dissertation]. The Ohio State University; 2005. [cited 2019 Oct 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1117201363.

Council of Science Editors:

Wang T. Statistical design and analysis of microarray experiments. [Doctoral Dissertation]. The Ohio State University; 2005. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1117201363

University of Florida

30. Niu, Tianying. Development of a Binder Fracture Test to Determine Fracture Energy.

Degree: PhD, Civil Engineering - Civil and Coastal Engineering, 2011, University of Florida

URL: http://ufdc.ufl.edu/UFE0043732

► It has been found that all existing binder testing methods in current specifications do not accurately predict cracking performance at intermediate temperatures. Fracture energy has…
(more)

Subjects/Keywords: Binding materials; Boxes; Flux density; Loading rate; Modeling; Polymers; Rubber; Statistical analysis; Statistical models; Stress fractures; asphalt – fracture

Record Details Similar Records

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

APA (6^{th} Edition):

Niu, T. (2011). Development of a Binder Fracture Test to Determine Fracture Energy. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043732

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

Niu, Tianying. “Development of a Binder Fracture Test to Determine Fracture Energy.” 2011. Doctoral Dissertation, University of Florida. Accessed October 18, 2019. http://ufdc.ufl.edu/UFE0043732.

MLA Handbook (7^{th} Edition):

Niu, Tianying. “Development of a Binder Fracture Test to Determine Fracture Energy.” 2011. Web. 18 Oct 2019.

Vancouver:

Niu T. Development of a Binder Fracture Test to Determine Fracture Energy. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Oct 18]. Available from: http://ufdc.ufl.edu/UFE0043732.

Council of Science Editors:

Niu T. Development of a Binder Fracture Test to Determine Fracture Energy. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043732