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Degree: PhD

You searched for subject:(Statistical modeling). Showing records 1 – 30 of 238 total matches.

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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

 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

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APA (6th 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 (16th 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 14, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347602/rec/4115.

MLA Handbook (7th Edition):

Wang, Li. “Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing.” 2013. Web. 14 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 14]. 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

 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

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APA (6th 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 (16th 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 14, 2019. http://hdl.handle.net/10179/3659.

MLA Handbook (7th Edition):

Fitch, Anne Marie. “Computationally tractable fitting of graphical models : the cost and benefits of decomposable Bayesian and penalized likelihood approaches.” 2012. Web. 14 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 14]. 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

 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

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APA (6th 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 (16th 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 14, 2019. http://hdl.handle.net/2142/31912.

MLA Handbook (7th Edition):

Sun, Xiaochun. “Models and methods for computer simulations as a resource in plant breeding.” 2012. Web. 14 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 14]. 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

 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

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APA (6th 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 (16th Edition):

Zhang, Lu. “Analysis and Interpretation of Complex Lipidomic Data Using Bioinformatic Approaches.” 2012. Doctoral Dissertation, Boston College. Accessed October 14, 2019. http://dlib.bc.edu/islandora/object/bc-ir:101631.

MLA Handbook (7th Edition):

Zhang, Lu. “Analysis and Interpretation of Complex Lipidomic Data Using Bioinformatic Approaches.” 2012. Web. 14 Oct 2019.

Vancouver:

Zhang L. Analysis and Interpretation of Complex Lipidomic Data Using Bioinformatic Approaches. [Internet] [Doctoral dissertation]. Boston College; 2012. [cited 2019 Oct 14]. 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

 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

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APA (6th 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 (16th 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 14, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/417046/rec/3622.

MLA Handbook (7th Edition):

Lee, Kun-Han. “Investigating statistical modeling approaches for reservoir characterization in waterfloods from rates fluctuations.” 2010. Web. 14 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 14]. 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

 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

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APA (6th 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 (16th Edition):

-1969-3778. “Statistical modeling of disease emergence.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed October 14, 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 (7th Edition):

-1969-3778. “Statistical modeling of disease emergence.” 2018. Web. 14 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 14]. Available from: http://hdl.handle.net/2152/68092.

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

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

 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

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APA (6th 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 (16th 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 14, 2019. https://docs.lib.purdue.edu/open_access_dissertations/1330.

MLA Handbook (7th Edition):

Zhang, Ruoqiao. “Advanced Statistical Modeling for Model-Based Iterative Reconstruction for Single-Energy and Dual-Energy X-Ray CT.” 2015. Web. 14 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 14]. 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

 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

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APA (6th 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 (16th Edition):

Ghandchi, Frederick Pejman. “Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 14, 2019. http://hdl.handle.net/2142/92716.

MLA Handbook (7th Edition):

Ghandchi, Frederick Pejman. “Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation.” 2016. Web. 14 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 14]. 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

 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

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APA (6th 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 (16th 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 14, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/256/rec/415.

MLA Handbook (7th Edition):

Ananthanarayanan, Peruvemba Ranganathan Sai. “Enabling multiantenna wireless communication in aircraft: channel modeling, interference and noise analysis, and antenna and detector optimization.” 2010. Web. 14 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 14]. 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

  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

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APA (6th 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 (16th 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 14, 2019. https://scholarworks.uvm.edu/graddis/793.

MLA Handbook (7th 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. 14 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 14]. 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

  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

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APA (6th 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 (16th 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 14, 2019. https://scholarworks.uvm.edu/graddis/900.

MLA Handbook (7th 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. 14 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 14]. 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

  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

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APA (6th 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 (16th 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 14, 2019. https://scholar.colorado.edu/cven_gradetds/374.

MLA Handbook (7th Edition):

Suchetana, Bihu. “Performance-Based Modeling of Spatial and Temporal Variability of Treated Wastewater Quality for Improved Nutrient Management.” 2018. Web. 14 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 14]. 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

 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

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APA (6th 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 (16th Edition):

Faust, Kasey Mariko. “IMPACT ASSESSMENT OF URBAN DECLINE ON COUPLED HUMAN AND WATER SECTOR INFRASTRUCTURE SYSTEMS.” 2015. Doctoral Dissertation, Purdue University. Accessed October 14, 2019. https://docs.lib.purdue.edu/open_access_dissertations/1187.

MLA Handbook (7th Edition):

Faust, Kasey Mariko. “IMPACT ASSESSMENT OF URBAN DECLINE ON COUPLED HUMAN AND WATER SECTOR INFRASTRUCTURE SYSTEMS.” 2015. Web. 14 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 14]. 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


Virginia Commonwealth University

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

Degree: PhD, Engineering, 2017, Virginia Commonwealth University

  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 (6th 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 (16th Edition):

Elyas, Seyyed Hamid, 8045266. “Synthetic Modeling of Power Grids Based on Statistical Analysis.” 2017. Doctoral Dissertation, Virginia Commonwealth University. Accessed October 14, 2019. https://scholarscompass.vcu.edu/etd/4888.

MLA Handbook (7th Edition):

Elyas, Seyyed Hamid, 8045266. “Synthetic Modeling of Power Grids Based on Statistical Analysis.” 2017. Web. 14 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 14]. 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

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

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

 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 (6th 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 (16th Edition):

Chatterjee, Soumyadeep. “High Dimensional Statistical Models: Applications to Climate.” 2015. Doctoral Dissertation, University of Minnesota. Accessed October 14, 2019. http://hdl.handle.net/11299/175549.

MLA Handbook (7th Edition):

Chatterjee, Soumyadeep. “High Dimensional Statistical Models: Applications to Climate.” 2015. Web. 14 Oct 2019.

Vancouver:

Chatterjee S. High Dimensional Statistical Models: Applications to Climate. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2019 Oct 14]. 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

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

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

 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 (6th 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 (16th Edition):

Bai, Peng. “Molecular Simulation of Adsorption in Zeolites.” 2014. Doctoral Dissertation, University of Minnesota. Accessed October 14, 2019. http://hdl.handle.net/11299/182735.

MLA Handbook (7th Edition):

Bai, Peng. “Molecular Simulation of Adsorption in Zeolites.” 2014. Web. 14 Oct 2019.

Vancouver:

Bai P. Molecular Simulation of Adsorption in Zeolites. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2019 Oct 14]. 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

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

Degree: PhD, Engineering, 2013, Rice University

 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 (6th 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 (16th 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 14, 2019. http://hdl.handle.net/1911/77206.

MLA Handbook (7th Edition):

Li, Biao. “Stochastic Modeling and Simulation of Biological Phenomena with Applications in Population Genetics and in Cell Populations.” 2013. Web. 14 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 14]. 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

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

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

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 (6th 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 (16th Edition):

Perera, Robert Anthony. “Examining Simultaneous Power in Structural Equation Modeling</h1>.” 2013. Doctoral Dissertation, University of Notre Dame. Accessed October 14, 2019. https://curate.nd.edu/show/sb397655n8q.

MLA Handbook (7th Edition):

Perera, Robert Anthony. “Examining Simultaneous Power in Structural Equation Modeling</h1>.” 2013. Web. 14 Oct 2019.

Vancouver:

Perera RA. Examining Simultaneous Power in Structural Equation Modeling</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2013. [cited 2019 Oct 14]. 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

19. 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

 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 (6th 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 (16th 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 14, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/175848/rec/6046.

MLA Handbook (7th Edition):

Yan, Xiting. “Statistical modeling of sequence and gene expression data to infer gene regulatory networks.” 2009. Web. 14 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 14]. 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


Boston University

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

Degree: PhD, Physics, 2018, Boston University

 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 (6th 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 (16th Edition):

Menon, Rajita. “Network topology and community function in spatial microbial communities.” 2018. Doctoral Dissertation, Boston University. Accessed October 14, 2019. http://hdl.handle.net/2144/33133.

MLA Handbook (7th Edition):

Menon, Rajita. “Network topology and community function in spatial microbial communities.” 2018. Web. 14 Oct 2019.

Vancouver:

Menon R. Network topology and community function in spatial microbial communities. [Internet] [Doctoral dissertation]. Boston University; 2018. [cited 2019 Oct 14]. 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

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

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

 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 (6th 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 (16th Edition):

Shaker, Matineh. “Manifold learning and unwrapping using density ridges.” 2016. Doctoral Dissertation, Northeastern University. Accessed October 14, 2019. http://hdl.handle.net/2047/D20260369.

MLA Handbook (7th Edition):

Shaker, Matineh. “Manifold learning and unwrapping using density ridges.” 2016. Web. 14 Oct 2019.

Vancouver:

Shaker M. Manifold learning and unwrapping using density ridges. [Internet] [Doctoral dissertation]. Northeastern University; 2016. [cited 2019 Oct 14]. 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

22. 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

 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 (6th 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 (16th 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 14, 2019. http://hdl.handle.net/10217/183976.

MLA Handbook (7th Edition):

Tasdighi, Ali. “Confronting the natural variability and modeling uncertainty of nonpoint source pollution in water quality management.” 2017. Web. 14 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 14]. 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

23. 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

 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 (6th 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 (16th 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 14, 2019. http://hdl.handle.net/10217/191481.

MLA Handbook (7th Edition):

Brogan, John. “Development of a decision threshold for radiological source detection utilizing Bayesian statistical techniques applied to gross count measurements.” 2018. Web. 14 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 14]. 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


Texas Medical Center

24. 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

  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

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APA (6th 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 (16th 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 14, 2019. http://digitalcommons.library.tmc.edu/utgsbs_dissertations/197.

MLA Handbook (7th Edition):

D'Amelio, Anthony M, Jr. “Development of a Bayesian Joint Logistic Model to Better Study the Association between Haplotypes and Disease.” 2011. Web. 14 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 14]. 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

25. Wang, Tao. Statistical design and analysis of microarray experiments.

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

 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 (6th 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 (16th Edition):

Wang, Tao. “Statistical design and analysis of microarray experiments.” 2005. Doctoral Dissertation, The Ohio State University. Accessed October 14, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1117201363.

MLA Handbook (7th Edition):

Wang, Tao. “Statistical design and analysis of microarray experiments.” 2005. Web. 14 Oct 2019.

Vancouver:

Wang T. Statistical design and analysis of microarray experiments. [Internet] [Doctoral dissertation]. The Ohio State University; 2005. [cited 2019 Oct 14]. 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

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

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

 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

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APA (6th 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 (16th Edition):

Niu, Tianying. “Development of a Binder Fracture Test to Determine Fracture Energy.” 2011. Doctoral Dissertation, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0043732.

MLA Handbook (7th Edition):

Niu, Tianying. “Development of a Binder Fracture Test to Determine Fracture Energy.” 2011. Web. 14 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 14]. 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


University of Florida

27. BIANCHI,GEORGIA E. Italiani Nuovi or Nuova Italia? Attitudes toward Granting Citizenship to Second-Generation Immigrants in Contemporary Italy.

Degree: PhD, Sociology - Sociology and Criminology & Law, 2011, University of Florida

 Italy is home to an ever-growing population of children of immigrants born and raised in the country, but who do not have Italian citizenship due… (more)

Subjects/Keywords: Children; Citizenship; Citizenship status; Countries; Demography; Immigration; Modeling; Statistical models; Statistical significance; Voting; CITIZENSHIP  – GENERATION  – IMMIGRATION  – ITALY

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APA (6th Edition):

E, B. (2011). Italiani Nuovi or Nuova Italia? Attitudes toward Granting Citizenship to Second-Generation Immigrants in Contemporary Italy. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042530

Chicago Manual of Style (16th Edition):

E, BIANCHI,GEORGIA. “Italiani Nuovi or Nuova Italia? Attitudes toward Granting Citizenship to Second-Generation Immigrants in Contemporary Italy.” 2011. Doctoral Dissertation, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0042530.

MLA Handbook (7th Edition):

E, BIANCHI,GEORGIA. “Italiani Nuovi or Nuova Italia? Attitudes toward Granting Citizenship to Second-Generation Immigrants in Contemporary Italy.” 2011. Web. 14 Oct 2019.

Vancouver:

E B. Italiani Nuovi or Nuova Italia? Attitudes toward Granting Citizenship to Second-Generation Immigrants in Contemporary Italy. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0042530.

Council of Science Editors:

E B. Italiani Nuovi or Nuova Italia? Attitudes toward Granting Citizenship to Second-Generation Immigrants in Contemporary Italy. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0042530


University of Florida

28. Xiang, Ruoxuan. Consistency of High Dimensional Bayesian Models.

Degree: PhD, Statistics, 2016, University of Florida

 In the first project, we examine Bayes factor consistency in the context of Bayesian variable selection for normal linear regression models. We take a hierarchical… (more)

Subjects/Keywords: Approximation; Bayes theorem; Covariance; Matrices; Modeling; Parametric models; Statistical estimation; Statistical models; Statistics; Vertices; bayesian  – consistency

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APA (6th Edition):

Xiang, R. (2016). Consistency of High Dimensional Bayesian Models. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050143

Chicago Manual of Style (16th Edition):

Xiang, Ruoxuan. “Consistency of High Dimensional Bayesian Models.” 2016. Doctoral Dissertation, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0050143.

MLA Handbook (7th Edition):

Xiang, Ruoxuan. “Consistency of High Dimensional Bayesian Models.” 2016. Web. 14 Oct 2019.

Vancouver:

Xiang R. Consistency of High Dimensional Bayesian Models. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0050143.

Council of Science Editors:

Xiang R. Consistency of High Dimensional Bayesian Models. [Doctoral Dissertation]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0050143


University of Florida

29. Pal, Subhadip. Development and Analysis of New Markov Chain Monte Carlo (MCMC) Algorithms.

Degree: PhD, Statistics, 2015, University of Florida

 Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing in the last two decades. MCMC methods have enabled the development and use of intricate… (more)

Subjects/Keywords: Autocorrelation; Ergodic theory; Markov chains; Matrices; Modeling; Regression analysis; Sandwiches; Statistical discrepancies; Statistical models; Statistics; envelope  – geometricergodicity  – mcmc

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APA (6th Edition):

Pal, S. (2015). Development and Analysis of New Markov Chain Monte Carlo (MCMC) Algorithms. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049047

Chicago Manual of Style (16th Edition):

Pal, Subhadip. “Development and Analysis of New Markov Chain Monte Carlo (MCMC) Algorithms.” 2015. Doctoral Dissertation, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0049047.

MLA Handbook (7th Edition):

Pal, Subhadip. “Development and Analysis of New Markov Chain Monte Carlo (MCMC) Algorithms.” 2015. Web. 14 Oct 2019.

Vancouver:

Pal S. Development and Analysis of New Markov Chain Monte Carlo (MCMC) Algorithms. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0049047.

Council of Science Editors:

Pal S. Development and Analysis of New Markov Chain Monte Carlo (MCMC) Algorithms. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049047


University of Florida

30. Chen, Lixia. Statistical Approximations of Database Queries with Confidence Intervals.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2011, University of Florida

 Explosive data growth in databases presents challenges of fast query processing. Computation of exact values of complex queries over large databases can take a long… (more)

Subjects/Keywords: Aggregation; Approximation; Confidence interval; Databases; Error rates; Estimators; Histograms; Probabilistic modeling; Random variables; Statistical discrepancies; aggregation  – approximation  – databases  – prababilistic  – statistical

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APA (6th Edition):

Chen, L. (2011). Statistical Approximations of Database Queries with Confidence Intervals. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043509

Chicago Manual of Style (16th Edition):

Chen, Lixia. “Statistical Approximations of Database Queries with Confidence Intervals.” 2011. Doctoral Dissertation, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0043509.

MLA Handbook (7th Edition):

Chen, Lixia. “Statistical Approximations of Database Queries with Confidence Intervals.” 2011. Web. 14 Oct 2019.

Vancouver:

Chen L. Statistical Approximations of Database Queries with Confidence Intervals. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0043509.

Council of Science Editors:

Chen L. Statistical Approximations of Database Queries with Confidence Intervals. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043509

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