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Dates: 2015 – 2019

You searched for subject:(Statistical modeling). Showing records 1 – 30 of 187 total matches.

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University of North Texas

1. George, Benjamin Thomas. Extensions of the General Linear Model into Methods within Partial Least Squares Structural Equation Modeling.

Degree: 2016, University of North Texas

 The current generation of structural equation modeling (SEM) is loosely split in two divergent groups - covariance-based and variance-based structural equation modeling. The relative newness… (more)

Subjects/Keywords: Structural Equation Modeling; Statistical Methodology

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APA (6th Edition):

George, B. T. (2016). Extensions of the General Linear Model into Methods within Partial Least Squares Structural Equation Modeling. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc862733/

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

Chicago Manual of Style (16th Edition):

George, Benjamin Thomas. “Extensions of the General Linear Model into Methods within Partial Least Squares Structural Equation Modeling.” 2016. Thesis, University of North Texas. Accessed November 17, 2019. https://digital.library.unt.edu/ark:/67531/metadc862733/.

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

MLA Handbook (7th Edition):

George, Benjamin Thomas. “Extensions of the General Linear Model into Methods within Partial Least Squares Structural Equation Modeling.” 2016. Web. 17 Nov 2019.

Vancouver:

George BT. Extensions of the General Linear Model into Methods within Partial Least Squares Structural Equation Modeling. [Internet] [Thesis]. University of North Texas; 2016. [cited 2019 Nov 17]. Available from: https://digital.library.unt.edu/ark:/67531/metadc862733/.

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

Council of Science Editors:

George BT. Extensions of the General Linear Model into Methods within Partial Least Squares Structural Equation Modeling. [Thesis]. University of North Texas; 2016. Available from: https://digital.library.unt.edu/ark:/67531/metadc862733/

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


Texas A&M University

2. Knight, Jason Matthew. Optimal Model-Based Approaches for Predictive Inference in Biology.

Degree: 2015, Texas A&M University

 Predictive modeling of the dynamic, multivariate, non-linear, stochastic systems of biology is a difficult enterprise. High throughput measurement techniques are enabling new approaches to computational… (more)

Subjects/Keywords: computational biology; predictive inference; statistical modeling; bioinformatics

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APA (6th Edition):

Knight, J. M. (2015). Optimal Model-Based Approaches for Predictive Inference in Biology. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155131

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

Chicago Manual of Style (16th Edition):

Knight, Jason Matthew. “Optimal Model-Based Approaches for Predictive Inference in Biology.” 2015. Thesis, Texas A&M University. Accessed November 17, 2019. http://hdl.handle.net/1969.1/155131.

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

MLA Handbook (7th Edition):

Knight, Jason Matthew. “Optimal Model-Based Approaches for Predictive Inference in Biology.” 2015. Web. 17 Nov 2019.

Vancouver:

Knight JM. Optimal Model-Based Approaches for Predictive Inference in Biology. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1969.1/155131.

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

Council of Science Editors:

Knight JM. Optimal Model-Based Approaches for Predictive Inference in Biology. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155131

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


Georgia State University

3. Berens, Andrew S. The use of in situ gamma radiation measurements as a method of determining radon potential in urban environments.

Degree: MS, Geosciences, 2016, Georgia State University

  Radon is a radioactive gas that is the leading cause of lung cancer in non-smokers. While radon is natural and ubiquitous, higher concentrations greatly… (more)

Subjects/Keywords: Radon; Gamma; Kriging; Spatial interpolation; Statistical modeling

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APA (6th Edition):

Berens, A. S. (2016). The use of in situ gamma radiation measurements as a method of determining radon potential in urban environments. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/geosciences_theses/89

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

Chicago Manual of Style (16th Edition):

Berens, Andrew S. “The use of in situ gamma radiation measurements as a method of determining radon potential in urban environments.” 2016. Thesis, Georgia State University. Accessed November 17, 2019. https://scholarworks.gsu.edu/geosciences_theses/89.

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

MLA Handbook (7th Edition):

Berens, Andrew S. “The use of in situ gamma radiation measurements as a method of determining radon potential in urban environments.” 2016. Web. 17 Nov 2019.

Vancouver:

Berens AS. The use of in situ gamma radiation measurements as a method of determining radon potential in urban environments. [Internet] [Thesis]. Georgia State University; 2016. [cited 2019 Nov 17]. Available from: https://scholarworks.gsu.edu/geosciences_theses/89.

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

Council of Science Editors:

Berens AS. The use of in situ gamma radiation measurements as a method of determining radon potential in urban environments. [Thesis]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/geosciences_theses/89

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


Rochester Institute of Technology

4. Darlington, William J. Predicting underperformance from students in upper level engineering courses.

Degree: MS, Industrial and Systems Engineering, 2017, Rochester Institute of Technology

  Recent research in academic analytics has focused on predicting student performance within, and sometimes across courses for the purpose of informing early interventions. While… (more)

Subjects/Keywords: Analytics; Education; Learning; Performance; Statistical modeling; Student

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APA (6th Edition):

Darlington, W. J. (2017). Predicting underperformance from students in upper level engineering courses. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9549

Chicago Manual of Style (16th Edition):

Darlington, William J. “Predicting underperformance from students in upper level engineering courses.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed November 17, 2019. https://scholarworks.rit.edu/theses/9549.

MLA Handbook (7th Edition):

Darlington, William J. “Predicting underperformance from students in upper level engineering courses.” 2017. Web. 17 Nov 2019.

Vancouver:

Darlington WJ. Predicting underperformance from students in upper level engineering courses. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2019 Nov 17]. Available from: https://scholarworks.rit.edu/theses/9549.

Council of Science Editors:

Darlington WJ. Predicting underperformance from students in upper level engineering courses. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9549


University of Texas – Austin

5. -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 November 17, 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. 17 Nov 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 Nov 17]. 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


University of Texas – Austin

6. You, Xinqi. A hybrid reduced approach to handle missing values in type 2 diabetes prediction.

Degree: MSin Statistics, Statistics, 2016, University of Texas – Austin

 Diabetes gains more attention among medical institutions and health care organizations as the increasing trend of diabetes around the world. In the United States, 29.1… (more)

Subjects/Keywords: Statistics; Missing value; Data mining; Machine learning; Predictive modeling; Statistical modeling

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APA (6th Edition):

You, X. (2016). A hybrid reduced approach to handle missing values in type 2 diabetes prediction. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/2744

Chicago Manual of Style (16th Edition):

You, Xinqi. “A hybrid reduced approach to handle missing values in type 2 diabetes prediction.” 2016. Masters Thesis, University of Texas – Austin. Accessed November 17, 2019. http://dx.doi.org/10.26153/tsw/2744.

MLA Handbook (7th Edition):

You, Xinqi. “A hybrid reduced approach to handle missing values in type 2 diabetes prediction.” 2016. Web. 17 Nov 2019.

Vancouver:

You X. A hybrid reduced approach to handle missing values in type 2 diabetes prediction. [Internet] [Masters thesis]. University of Texas – Austin; 2016. [cited 2019 Nov 17]. Available from: http://dx.doi.org/10.26153/tsw/2744.

Council of Science Editors:

You X. A hybrid reduced approach to handle missing values in type 2 diabetes prediction. [Masters Thesis]. University of Texas – Austin; 2016. Available from: http://dx.doi.org/10.26153/tsw/2744


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 November 17, 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. 17 Nov 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 Nov 17]. 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


KTH

8. Dutrieux, Mariane. Spatio-temporal species distribution modeling: Application to invasive alien species’ monitoring.

Degree: Environmental science and Engineering, 2017, KTH

The developments of species distribution modeling techniques have brought new opportunities in the field of biological invasion management. In particular, statistical niche modeling for… (more)

Subjects/Keywords: Species distribution modeling; invasive alien species; statistical niche modeling; mechanistic niche modeling; Civil Engineering; Samhällsbyggnadsteknik

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APA (6th Edition):

Dutrieux, M. (2017). Spatio-temporal species distribution modeling: Application to invasive alien species’ monitoring. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224319

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

Chicago Manual of Style (16th Edition):

Dutrieux, Mariane. “Spatio-temporal species distribution modeling: Application to invasive alien species’ monitoring.” 2017. Thesis, KTH. Accessed November 17, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224319.

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

MLA Handbook (7th Edition):

Dutrieux, Mariane. “Spatio-temporal species distribution modeling: Application to invasive alien species’ monitoring.” 2017. Web. 17 Nov 2019.

Vancouver:

Dutrieux M. Spatio-temporal species distribution modeling: Application to invasive alien species’ monitoring. [Internet] [Thesis]. KTH; 2017. [cited 2019 Nov 17]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224319.

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

Council of Science Editors:

Dutrieux M. Spatio-temporal species distribution modeling: Application to invasive alien species’ monitoring. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224319

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


University of Illinois – Urbana-Champaign

9. 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 November 17, 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. 17 Nov 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 Nov 17]. 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 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 November 17, 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. 17 Nov 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 Nov 17]. 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 November 17, 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. 17 Nov 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 Nov 17]. 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


EPFL

12. Gallice, Aurélien. Stream temperature modeling in mountainous environments.

Degree: 2016, EPFL

 Stream temperature is one of the key variables affecting the habitat suitability of numerous aquatic species. Over the past decades, research efforts on this topic… (more)

Subjects/Keywords: stream temperature; alpine hydrology; deterministic modeling; statistical modeling; prediction in ungauged basins (PUB)

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APA (6th Edition):

Gallice, A. (2016). Stream temperature modeling in mountainous environments. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/220880

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

Chicago Manual of Style (16th Edition):

Gallice, Aurélien. “Stream temperature modeling in mountainous environments.” 2016. Thesis, EPFL. Accessed November 17, 2019. http://infoscience.epfl.ch/record/220880.

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

MLA Handbook (7th Edition):

Gallice, Aurélien. “Stream temperature modeling in mountainous environments.” 2016. Web. 17 Nov 2019.

Vancouver:

Gallice A. Stream temperature modeling in mountainous environments. [Internet] [Thesis]. EPFL; 2016. [cited 2019 Nov 17]. Available from: http://infoscience.epfl.ch/record/220880.

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

Council of Science Editors:

Gallice A. Stream temperature modeling in mountainous environments. [Thesis]. EPFL; 2016. Available from: http://infoscience.epfl.ch/record/220880

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


University of Colorado

13. 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 November 17, 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. 17 Nov 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 Nov 17]. 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

14. 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 November 17, 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. 17 Nov 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 Nov 17]. 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


Michigan Technological University

15. Tahtinen, Mitchell D. ANALYSIS OF DATA FROM A STUDY TO IDENTIFY POTENTIAL BIOMARKERS TO INDICATE RENAL INJURY.

Degree: MS, Department of Mathematical Sciences, 2017, Michigan Technological University

  Ureteropelvic junction obstruction is a disease in which flow from the kidney to the bladder is obstructed for extended periods of time causing irreversible… (more)

Subjects/Keywords: Statistical consulting; biomedical; predictive modeling; kidney failure; Biostatistics; Clinical Trials

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APA (6th Edition):

Tahtinen, M. D. (2017). ANALYSIS OF DATA FROM A STUDY TO IDENTIFY POTENTIAL BIOMARKERS TO INDICATE RENAL INJURY. (Masters Thesis). Michigan Technological University. Retrieved from http://digitalcommons.mtu.edu/etdr/468

Chicago Manual of Style (16th Edition):

Tahtinen, Mitchell D. “ANALYSIS OF DATA FROM A STUDY TO IDENTIFY POTENTIAL BIOMARKERS TO INDICATE RENAL INJURY.” 2017. Masters Thesis, Michigan Technological University. Accessed November 17, 2019. http://digitalcommons.mtu.edu/etdr/468.

MLA Handbook (7th Edition):

Tahtinen, Mitchell D. “ANALYSIS OF DATA FROM A STUDY TO IDENTIFY POTENTIAL BIOMARKERS TO INDICATE RENAL INJURY.” 2017. Web. 17 Nov 2019.

Vancouver:

Tahtinen MD. ANALYSIS OF DATA FROM A STUDY TO IDENTIFY POTENTIAL BIOMARKERS TO INDICATE RENAL INJURY. [Internet] [Masters thesis]. Michigan Technological University; 2017. [cited 2019 Nov 17]. Available from: http://digitalcommons.mtu.edu/etdr/468.

Council of Science Editors:

Tahtinen MD. ANALYSIS OF DATA FROM A STUDY TO IDENTIFY POTENTIAL BIOMARKERS TO INDICATE RENAL INJURY. [Masters Thesis]. Michigan Technological University; 2017. Available from: http://digitalcommons.mtu.edu/etdr/468


Rochester Institute of Technology

16. Graydon, Tucker B. Novel Detection and Analysis using Deep Variational Autoencoders.

Degree: MS, Electrical Engineering, 2018, Rochester Institute of Technology

  This paper presents a Novel Identification System which uses generative modeling techniques and Gaussian Mixture Models (GMMs) to identify the main process variables involved… (more)

Subjects/Keywords: Fault detection; Feature extraction; Machine learning; One class classification; Statistical modeling

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APA (6th Edition):

Graydon, T. B. (2018). Novel Detection and Analysis using Deep Variational Autoencoders. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9897

Chicago Manual of Style (16th Edition):

Graydon, Tucker B. “Novel Detection and Analysis using Deep Variational Autoencoders.” 2018. Masters Thesis, Rochester Institute of Technology. Accessed November 17, 2019. https://scholarworks.rit.edu/theses/9897.

MLA Handbook (7th Edition):

Graydon, Tucker B. “Novel Detection and Analysis using Deep Variational Autoencoders.” 2018. Web. 17 Nov 2019.

Vancouver:

Graydon TB. Novel Detection and Analysis using Deep Variational Autoencoders. [Internet] [Masters thesis]. Rochester Institute of Technology; 2018. [cited 2019 Nov 17]. Available from: https://scholarworks.rit.edu/theses/9897.

Council of Science Editors:

Graydon TB. Novel Detection and Analysis using Deep Variational Autoencoders. [Masters Thesis]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9897

17. Trevelyan, Alexander. Nonequilibrium Statistical Models: Guided Network Growth Under Localized Information and Perspectives on Electron Diffusion in Conductors.

Degree: 2018, University of Oregon

 The ability to probe many-particle systems on a microscopic level has revolutionized the way we do statistical physics. As computational capabilities continue to grow exponentially,… (more)

Subjects/Keywords: Network Theory; Statistical Modeling

MODELING NONEQUILIBRIUM FLUCTUATION-DISSIPATION THEOREM IN AN ELECTRON GAS… …modern society, and statistical physics is no exception. Prior to the transistor, statistical… …approach necessitated by classical equilibrium statistical mechanics. Perhaps the first thing… …that jumps to mind for statistical physicists excited by this newfound computing power is the… …statistical mechanics, then the other natural frontier is to unpack the time averages. What exactly… 

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APA (6th Edition):

Trevelyan, A. (2018). Nonequilibrium Statistical Models: Guided Network Growth Under Localized Information and Perspectives on Electron Diffusion in Conductors. (Thesis). University of Oregon. Retrieved from http://hdl.handle.net/1794/23915

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

Chicago Manual of Style (16th Edition):

Trevelyan, Alexander. “Nonequilibrium Statistical Models: Guided Network Growth Under Localized Information and Perspectives on Electron Diffusion in Conductors.” 2018. Thesis, University of Oregon. Accessed November 17, 2019. http://hdl.handle.net/1794/23915.

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

MLA Handbook (7th Edition):

Trevelyan, Alexander. “Nonequilibrium Statistical Models: Guided Network Growth Under Localized Information and Perspectives on Electron Diffusion in Conductors.” 2018. Web. 17 Nov 2019.

Vancouver:

Trevelyan A. Nonequilibrium Statistical Models: Guided Network Growth Under Localized Information and Perspectives on Electron Diffusion in Conductors. [Internet] [Thesis]. University of Oregon; 2018. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1794/23915.

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

Council of Science Editors:

Trevelyan A. Nonequilibrium Statistical Models: Guided Network Growth Under Localized Information and Perspectives on Electron Diffusion in Conductors. [Thesis]. University of Oregon; 2018. Available from: http://hdl.handle.net/1794/23915

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

18. 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

 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

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APA (6th 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 (16th 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 November 17, 2019. http://www.theses.fr/2015TOU30073.

MLA Handbook (7th 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. 17 Nov 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 Nov 17]. 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


University of Waterloo

19. Karimi, Kamyar. The Characterization of Graphene Paper for Flexible Electronics Application.

Degree: 2016, University of Waterloo

 Graphene has been gaining attention mainly because of its exceptional electrical and mechanical properties. Mono layer graphene with its planar hexagonal lattice structure is transparent… (more)

Subjects/Keywords: Graphene; electrical properties; Graphene paper; flexible electronics; statistical modeling

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APA (6th Edition):

Karimi, K. (2016). The Characterization of Graphene Paper for Flexible Electronics Application. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10964

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

Chicago Manual of Style (16th Edition):

Karimi, Kamyar. “The Characterization of Graphene Paper for Flexible Electronics Application.” 2016. Thesis, University of Waterloo. Accessed November 17, 2019. http://hdl.handle.net/10012/10964.

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

MLA Handbook (7th Edition):

Karimi, Kamyar. “The Characterization of Graphene Paper for Flexible Electronics Application.” 2016. Web. 17 Nov 2019.

Vancouver:

Karimi K. The Characterization of Graphene Paper for Flexible Electronics Application. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/10012/10964.

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

Council of Science Editors:

Karimi K. The Characterization of Graphene Paper for Flexible Electronics Application. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10964

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


Virginia Commonwealth University

20. 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 November 17, 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. 17 Nov 2019.

Vancouver:

Elyas, Seyyed Hamid 8. Synthetic Modeling of Power Grids Based on Statistical Analysis. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2017. [cited 2019 Nov 17]. 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

21. 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 November 17, 2019. http://hdl.handle.net/11299/175549.

MLA Handbook (7th Edition):

Chatterjee, Soumyadeep. “High Dimensional Statistical Models: Applications to Climate.” 2015. Web. 17 Nov 2019.

Vancouver:

Chatterjee S. High Dimensional Statistical Models: Applications to Climate. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2019 Nov 17]. 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


Brigham Young University

22. Pfleger, Phillip Isaac. Exploring Fit for Nonlinear Structural Equation Models.

Degree: MS, 2019, Brigham Young University

 Fit indices and fit measures commonly used to determine the accuracy and desirability of structural equation models are expected to be insensitive to nonlinearity in… (more)

Subjects/Keywords: structural equation modeling; goodness-of-fit; nonlinear statistical models; Bayesian analysis

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APA (6th Edition):

Pfleger, P. I. (2019). Exploring Fit for Nonlinear Structural Equation Models. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8370&context=etd

Chicago Manual of Style (16th Edition):

Pfleger, Phillip Isaac. “Exploring Fit for Nonlinear Structural Equation Models.” 2019. Masters Thesis, Brigham Young University. Accessed November 17, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8370&context=etd.

MLA Handbook (7th Edition):

Pfleger, Phillip Isaac. “Exploring Fit for Nonlinear Structural Equation Models.” 2019. Web. 17 Nov 2019.

Vancouver:

Pfleger PI. Exploring Fit for Nonlinear Structural Equation Models. [Internet] [Masters thesis]. Brigham Young University; 2019. [cited 2019 Nov 17]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8370&context=etd.

Council of Science Editors:

Pfleger PI. Exploring Fit for Nonlinear Structural Equation Models. [Masters Thesis]. Brigham Young University; 2019. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8370&context=etd


Boston University

23. 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 November 17, 2019. http://hdl.handle.net/2144/33133.

MLA Handbook (7th Edition):

Menon, Rajita. “Network topology and community function in spatial microbial communities.” 2018. Web. 17 Nov 2019.

Vancouver:

Menon R. Network topology and community function in spatial microbial communities. [Internet] [Doctoral dissertation]. Boston University; 2018. [cited 2019 Nov 17]. 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

 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 November 17, 2019. http://hdl.handle.net/2047/D20260369.

MLA Handbook (7th Edition):

Shaker, Matineh. “Manifold learning and unwrapping using density ridges.” 2016. Web. 17 Nov 2019.

Vancouver:

Shaker M. Manifold learning and unwrapping using density ridges. [Internet] [Doctoral dissertation]. Northeastern University; 2016. [cited 2019 Nov 17]. 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


Arizona State University

25. Gonzalez, Oscar. Modeling Multifaceted Constructs in Statistical Mediation Analysis: A Bifactor Approach.

Degree: Psychology, 2016, Arizona State University

Statistical mediation analysis allows researchers to identify the most important the mediating constructs in the causal process studied. Information about the mediating processes can be… (more)

Subjects/Keywords: Psychology; bifactor; intervention; measurement; multidimensionality; Statistical mediation; structural equation modeling

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APA (6th Edition):

Gonzalez, O. (2016). Modeling Multifaceted Constructs in Statistical Mediation Analysis: A Bifactor Approach. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/40207

Chicago Manual of Style (16th Edition):

Gonzalez, Oscar. “Modeling Multifaceted Constructs in Statistical Mediation Analysis: A Bifactor Approach.” 2016. Masters Thesis, Arizona State University. Accessed November 17, 2019. http://repository.asu.edu/items/40207.

MLA Handbook (7th Edition):

Gonzalez, Oscar. “Modeling Multifaceted Constructs in Statistical Mediation Analysis: A Bifactor Approach.” 2016. Web. 17 Nov 2019.

Vancouver:

Gonzalez O. Modeling Multifaceted Constructs in Statistical Mediation Analysis: A Bifactor Approach. [Internet] [Masters thesis]. Arizona State University; 2016. [cited 2019 Nov 17]. Available from: http://repository.asu.edu/items/40207.

Council of Science Editors:

Gonzalez O. Modeling Multifaceted Constructs in Statistical Mediation Analysis: A Bifactor Approach. [Masters Thesis]. Arizona State University; 2016. Available from: http://repository.asu.edu/items/40207


Colorado State University

26. 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 November 17, 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. 17 Nov 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 Nov 17]. 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

27. 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 November 17, 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. 17 Nov 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 Nov 17]. 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

28. Sintini, Irene. Statistical Shape and Intensity Modeling of the Shoulder.

Degree: MS, Bioengineering, 2017, U of Denver

  Anatomical variability in the shoulder is inherently present and can influence healthy and pathologic biomechanics and ultimately clinical decision-making. Characterizing variation in bony morphology… (more)

Subjects/Keywords: Shoulder; Statistical Shape Modeling; Biomechanics and Biotransport; Biomedical Engineering and Bioengineering

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APA (6th Edition):

Sintini, I. (2017). Statistical Shape and Intensity Modeling of the Shoulder. (Thesis). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/1478

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

Chicago Manual of Style (16th Edition):

Sintini, Irene. “Statistical Shape and Intensity Modeling of the Shoulder.” 2017. Thesis, U of Denver. Accessed November 17, 2019. https://digitalcommons.du.edu/etd/1478.

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

MLA Handbook (7th Edition):

Sintini, Irene. “Statistical Shape and Intensity Modeling of the Shoulder.” 2017. Web. 17 Nov 2019.

Vancouver:

Sintini I. Statistical Shape and Intensity Modeling of the Shoulder. [Internet] [Thesis]. U of Denver; 2017. [cited 2019 Nov 17]. Available from: https://digitalcommons.du.edu/etd/1478.

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

Council of Science Editors:

Sintini I. Statistical Shape and Intensity Modeling of the Shoulder. [Thesis]. U of Denver; 2017. Available from: https://digitalcommons.du.edu/etd/1478

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


Michigan State University

29. Gao, Bin, Ph. D. Graph estimation and network constrained regularization with applications in genetical genomics analysis.

Degree: 2015, Michigan State University

Thesis Ph. D. Michigan State University. Statistics 2015

Estimation and application of graphical structure are important topics in modern statistics. Graphical structure is an ideal… (more)

Subjects/Keywords: Gene regulatory networks; Genomics – Statistical methods; Graphical modeling (Statistics); Statistics

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APA (6th Edition):

Gao, Bin, P. D. (2015). Graph estimation and network constrained regularization with applications in genetical genomics analysis. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:3745

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

Chicago Manual of Style (16th Edition):

Gao, Bin, Ph D. “Graph estimation and network constrained regularization with applications in genetical genomics analysis.” 2015. Thesis, Michigan State University. Accessed November 17, 2019. http://etd.lib.msu.edu/islandora/object/etd:3745.

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

MLA Handbook (7th Edition):

Gao, Bin, Ph D. “Graph estimation and network constrained regularization with applications in genetical genomics analysis.” 2015. Web. 17 Nov 2019.

Vancouver:

Gao, Bin PD. Graph estimation and network constrained regularization with applications in genetical genomics analysis. [Internet] [Thesis]. Michigan State University; 2015. [cited 2019 Nov 17]. Available from: http://etd.lib.msu.edu/islandora/object/etd:3745.

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

Council of Science Editors:

Gao, Bin PD. Graph estimation and network constrained regularization with applications in genetical genomics analysis. [Thesis]. Michigan State University; 2015. Available from: http://etd.lib.msu.edu/islandora/object/etd:3745

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


University of Florida

30. 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 November 17, 2019. http://ufdc.ufl.edu/UFE0050143.

MLA Handbook (7th Edition):

Xiang, Ruoxuan. “Consistency of High Dimensional Bayesian Models.” 2016. Web. 17 Nov 2019.

Vancouver:

Xiang R. Consistency of High Dimensional Bayesian Models. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Nov 17]. 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

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