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Dates: 2015 – 2019 ^{❌}

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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

URL: https://digital.library.unt.edu/ark:/67531/metadc862733/

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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/

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

URL: http://hdl.handle.net/1969.1/155131

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://scholarworks.gsu.edu/geosciences_theses/89

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://scholarworks.rit.edu/theses/9549

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

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

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

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

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

APA (6^{th} Edition):

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

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

Author name may be incomplete

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

-1969-3778. “Statistical modeling of disease emergence.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed 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 (7^{th} 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.

Author name may be incomplete

Council of Science Editors:

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

Author name may be incomplete

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

URL: http://dx.doi.org/10.26153/tsw/2744

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

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

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

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

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APA (6^{th} Edition):

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

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

Zhang, Ruoqiao. “Advanced Statistical Modeling for Model-Based Iterative Reconstruction for Single-Energy and Dual-Energy X-Ray CT.” 2015. Doctoral Dissertation, Purdue University. Accessed November 17, 2019. https://docs.lib.purdue.edu/open_access_dissertations/1330.

MLA Handbook (7^{th} Edition):

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

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224319

►

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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

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

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

Ghandchi, Frederick Pejman. “Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 17, 2019. http://hdl.handle.net/2142/92716.

MLA Handbook (7^{th} Edition):

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

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

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

Montague, James. “Assessing The Probability Of Fluid Migration Caused By Hydraulic Fracturing; And Investigating Flow And Transport In Porous Media Using Mri.” 2017. Doctoral Dissertation, University of Vermont. Accessed November 17, 2019. https://scholarworks.uvm.edu/graddis/793.

MLA Handbook (7^{th} Edition):

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

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

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

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

Record Details Similar Records

❌

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

APA (6^{th} Edition):

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

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

Montague, James. “Assessing The Probability Of Fluid Migration Caused By Hydraulic Fracturing; And Investigating Flow And Transport In Porous Media Using Mri.” 2017. Doctoral Dissertation, University of Vermont. Accessed November 17, 2019. https://scholarworks.uvm.edu/graddis/900.

MLA Handbook (7^{th} Edition):

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

URL: http://infoscience.epfl.ch/record/220880

► 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)

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

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

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

Suchetana, Bihu. “Performance-Based Modeling of Spatial and Temporal Variability of Treated Wastewater Quality for Improved Nutrient Management.” 2018. Doctoral Dissertation, University of Colorado. Accessed November 17, 2019. https://scholar.colorado.edu/cven_gradetds/374.

MLA Handbook (7^{th} Edition):

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

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

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

Faust, Kasey Mariko. “IMPACT ASSESSMENT OF URBAN DECLINE ON COUPLED HUMAN AND WATER SECTOR INFRASTRUCTURE SYSTEMS.” 2015. Doctoral Dissertation, Purdue University. Accessed November 17, 2019. https://docs.lib.purdue.edu/open_access_dissertations/1187.

MLA Handbook (7^{th} Edition):

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

URL: http://digitalcommons.mtu.edu/etdr/468

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholarworks.rit.edu/theses/9897

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1794/23915

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

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

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

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

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APA (6^{th} Edition):

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

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

Fontoura Cupertino, Leandro. “Modeling the power consumption of computing systems and applications through machine learning techniques : Modélisation de la consommation énergétique des systèmes informatiques et ses applications grâce à des techniques d'apprentissage automatique.” 2015. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed November 17, 2019. http://www.theses.fr/2015TOU30073.

MLA Handbook (7^{th} Edition):

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

URL: http://hdl.handle.net/10012/10964

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

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

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

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

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APA (6^{th} Edition):

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

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

Elyas, Seyyed Hamid, 8045266. “Synthetic Modeling of Power Grids Based on Statistical Analysis.” 2017. Doctoral Dissertation, Virginia Commonwealth University. Accessed November 17, 2019. https://scholarscompass.vcu.edu/etd/4888.

MLA Handbook (7^{th} Edition):

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

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

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

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

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APA (6^{th} Edition):

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

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

Chatterjee, Soumyadeep. “High Dimensional Statistical Models: Applications to Climate.” 2015. Doctoral Dissertation, University of Minnesota. Accessed November 17, 2019. http://hdl.handle.net/11299/175549.

MLA Handbook (7^{th} 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

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8370&context=etd

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

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

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

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

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APA (6^{th} Edition):

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

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

Menon, Rajita. “Network topology and community function in spatial microbial communities.” 2018. Doctoral Dissertation, Boston University. Accessed November 17, 2019. http://hdl.handle.net/2144/33133.

MLA Handbook (7^{th} Edition):

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

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

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

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

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APA (6^{th} Edition):

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

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

Shaker, Matineh. “Manifold learning and unwrapping using density ridges.” 2016. Doctoral Dissertation, Northeastern University. Accessed November 17, 2019. http://hdl.handle.net/2047/D20260369.

MLA Handbook (7^{th} 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

Degree: Psychology, 2016, Arizona State University

URL: http://repository.asu.edu/items/40207

► *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 (6^{th} 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 (16^{th} 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 (7^{th} 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

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

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

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

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APA (6^{th} Edition):

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

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

Tasdighi, Ali. “Confronting the natural variability and modeling uncertainty of nonpoint source pollution in water quality management.” 2017. Doctoral Dissertation, Colorado State University. Accessed November 17, 2019. http://hdl.handle.net/10217/183976.

MLA Handbook (7^{th} Edition):

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

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

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

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

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APA (6^{th} Edition):

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

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

Brogan, John. “Development of a decision threshold for radiological source detection utilizing Bayesian statistical techniques applied to gross count measurements.” 2018. Doctoral Dissertation, Colorado State University. Accessed November 17, 2019. http://hdl.handle.net/10217/191481.

MLA Handbook (7^{th} Edition):

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

Degree: MS, Bioengineering, 2017, U of Denver

URL: https://digitalcommons.du.edu/etd/1478

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://etd.lib.msu.edu/islandora/object/etd:3745

►

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://ufdc.ufl.edu/UFE0050143

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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