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You searched for subject:(Statistical modeling). Showing records 31 – 60 of 618 total matches.

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University of Utah

31. Freeman, Michael Lawrence. Flow reversal events and statistical modeling of flow dynamics of hypersaline water across a constructed causeway, Great Salt Lake, Utah, USA.

Degree: MS, Geography, 2014, University of Utah

 The hypersaline Great Salt Lake (GSL), located in the western United States, is divided into a north arm (Gunnison Bay) and a south arm (Gilbert… (more)

Subjects/Keywords: flow reversals; generalized additive model; Great Salt Lake; hydrodynamics; statistical modeling

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APA (6th Edition):

Freeman, M. L. (2014). Flow reversal events and statistical modeling of flow dynamics of hypersaline water across a constructed causeway, Great Salt Lake, Utah, USA. (Masters Thesis). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3092/rec/1049

Chicago Manual of Style (16th Edition):

Freeman, Michael Lawrence. “Flow reversal events and statistical modeling of flow dynamics of hypersaline water across a constructed causeway, Great Salt Lake, Utah, USA.” 2014. Masters Thesis, University of Utah. Accessed October 18, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3092/rec/1049.

MLA Handbook (7th Edition):

Freeman, Michael Lawrence. “Flow reversal events and statistical modeling of flow dynamics of hypersaline water across a constructed causeway, Great Salt Lake, Utah, USA.” 2014. Web. 18 Oct 2019.

Vancouver:

Freeman ML. Flow reversal events and statistical modeling of flow dynamics of hypersaline water across a constructed causeway, Great Salt Lake, Utah, USA. [Internet] [Masters thesis]. University of Utah; 2014. [cited 2019 Oct 18]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3092/rec/1049.

Council of Science Editors:

Freeman ML. Flow reversal events and statistical modeling of flow dynamics of hypersaline water across a constructed causeway, Great Salt Lake, Utah, USA. [Masters Thesis]. University of Utah; 2014. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3092/rec/1049

32. Lopes, Juliana Silva. Modelagem matemática do processo fermentativo de produção de retamicina por microrganismo filamentoso Streptomyces olindensis.

Degree: Mestrado, Engenharia Química, 2007, University of São Paulo

Neste trabalho estudou-se a modelagem matemática de processo de produção do antitumoral retamicina produzido pelo microrganismo filamentoso Streptomyces olindensis em cultivos descontínuos, descontínuos alimentados e… (more)

Subjects/Keywords: Análise estatística; Fermentação; Fermentation; Mathematical modeling; Modelagem matemática; Statistical analysis

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APA (6th Edition):

Lopes, J. S. (2007). Modelagem matemática do processo fermentativo de produção de retamicina por microrganismo filamentoso Streptomyces olindensis. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3137/tde-09012008-141159/ ;

Chicago Manual of Style (16th Edition):

Lopes, Juliana Silva. “Modelagem matemática do processo fermentativo de produção de retamicina por microrganismo filamentoso Streptomyces olindensis.” 2007. Masters Thesis, University of São Paulo. Accessed October 18, 2019. http://www.teses.usp.br/teses/disponiveis/3/3137/tde-09012008-141159/ ;.

MLA Handbook (7th Edition):

Lopes, Juliana Silva. “Modelagem matemática do processo fermentativo de produção de retamicina por microrganismo filamentoso Streptomyces olindensis.” 2007. Web. 18 Oct 2019.

Vancouver:

Lopes JS. Modelagem matemática do processo fermentativo de produção de retamicina por microrganismo filamentoso Streptomyces olindensis. [Internet] [Masters thesis]. University of São Paulo; 2007. [cited 2019 Oct 18]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3137/tde-09012008-141159/ ;.

Council of Science Editors:

Lopes JS. Modelagem matemática do processo fermentativo de produção de retamicina por microrganismo filamentoso Streptomyces olindensis. [Masters Thesis]. University of São Paulo; 2007. Available from: http://www.teses.usp.br/teses/disponiveis/3/3137/tde-09012008-141159/ ;

33. Sanal, T S. Derivation of a statistical model for predicting poor control of diabetes mellitus.

Degree: Statistics, 2013, Manipal University

This study was conducted to identify the factors associated with poor control of diabetes and to derive a statistical model for predicting poor control of… (more)

Subjects/Keywords: Statistics; Statistical modeling; Perception; Meta- analysis; Poor control of diabetes

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APA (6th Edition):

Sanal, T. S. (2013). Derivation of a statistical model for predicting poor control of diabetes mellitus. (Thesis). Manipal University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/12254

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):

Sanal, T S. “Derivation of a statistical model for predicting poor control of diabetes mellitus.” 2013. Thesis, Manipal University. Accessed October 18, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/12254.

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

MLA Handbook (7th Edition):

Sanal, T S. “Derivation of a statistical model for predicting poor control of diabetes mellitus.” 2013. Web. 18 Oct 2019.

Vancouver:

Sanal TS. Derivation of a statistical model for predicting poor control of diabetes mellitus. [Internet] [Thesis]. Manipal University; 2013. [cited 2019 Oct 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/12254.

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

Council of Science Editors:

Sanal TS. Derivation of a statistical model for predicting poor control of diabetes mellitus. [Thesis]. Manipal University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/12254

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


Michigan Technological University

34. 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 October 18, 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. 18 Oct 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 Oct 18]. 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

35. 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 October 18, 2019. https://scholarworks.rit.edu/theses/9897.

MLA Handbook (7th Edition):

Graydon, Tucker B. “Novel Detection and Analysis using Deep Variational Autoencoders.” 2018. Web. 18 Oct 2019.

Vancouver:

Graydon TB. Novel Detection and Analysis using Deep Variational Autoencoders. [Internet] [Masters thesis]. Rochester Institute of Technology; 2018. [cited 2019 Oct 18]. 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

36. 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… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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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 October 18, 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. 18 Oct 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 Oct 18]. 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


University of Cambridge

37. Murakami, Akira. Individual variation and the role of L1 in the L2 development of English grammatical morphemes: insights from learner corpora .

Degree: 2014, University of Cambridge

 The overarching goal of the dissertation is to illustrate the relevance of learner corpus research to the field of second language acquisition (SLA). The possibility… (more)

Subjects/Keywords: second language acquisition; corpus linguistics; statistical modeling; grammatical morphemes; L1 influence

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APA (6th Edition):

Murakami, A. (2014). Individual variation and the role of L1 in the L2 development of English grammatical morphemes: insights from learner corpora . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/254430

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):

Murakami, Akira. “Individual variation and the role of L1 in the L2 development of English grammatical morphemes: insights from learner corpora .” 2014. Thesis, University of Cambridge. Accessed October 18, 2019. https://www.repository.cam.ac.uk/handle/1810/254430.

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

MLA Handbook (7th Edition):

Murakami, Akira. “Individual variation and the role of L1 in the L2 development of English grammatical morphemes: insights from learner corpora .” 2014. Web. 18 Oct 2019.

Vancouver:

Murakami A. Individual variation and the role of L1 in the L2 development of English grammatical morphemes: insights from learner corpora . [Internet] [Thesis]. University of Cambridge; 2014. [cited 2019 Oct 18]. Available from: https://www.repository.cam.ac.uk/handle/1810/254430.

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

Council of Science Editors:

Murakami A. Individual variation and the role of L1 in the L2 development of English grammatical morphemes: insights from learner corpora . [Thesis]. University of Cambridge; 2014. Available from: https://www.repository.cam.ac.uk/handle/1810/254430

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

38. 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 October 18, 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. 18 Oct 2019.

Vancouver:

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

Council of Science Editors:

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


Iowa State University

39. Mercado, Ramon Alejandro. A probabilistic approach to early communication performance estimation for electronic system-level design.

Degree: 2011, Iowa State University

 Today's embedded system designers face the challenges of ever increasing complexity and shorter time-to-market deadlines. System-level methodologies emerge to meet these challenges. Refinement-based methodologies, such… (more)

Subjects/Keywords: Communication; Exploration; Modeling; Statistical; System-level; Electrical and Computer Engineering

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APA (6th Edition):

Mercado, R. A. (2011). A probabilistic approach to early communication performance estimation for electronic system-level design. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/10470

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):

Mercado, Ramon Alejandro. “A probabilistic approach to early communication performance estimation for electronic system-level design.” 2011. Thesis, Iowa State University. Accessed October 18, 2019. https://lib.dr.iastate.edu/etd/10470.

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

MLA Handbook (7th Edition):

Mercado, Ramon Alejandro. “A probabilistic approach to early communication performance estimation for electronic system-level design.” 2011. Web. 18 Oct 2019.

Vancouver:

Mercado RA. A probabilistic approach to early communication performance estimation for electronic system-level design. [Internet] [Thesis]. Iowa State University; 2011. [cited 2019 Oct 18]. Available from: https://lib.dr.iastate.edu/etd/10470.

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

Council of Science Editors:

Mercado RA. A probabilistic approach to early communication performance estimation for electronic system-level design. [Thesis]. Iowa State University; 2011. Available from: https://lib.dr.iastate.edu/etd/10470

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

40. Genbrugge, Davy. Fast simulation techniques for microprocessor design space exploration.

Degree: 2010, Ghent University

 Designing a microprocessor is extremely time-consuming. Computer architects heavily rely on architectural simulators, e.g., to drive high-level design decisions during early stage design space exploration.… (more)

Subjects/Keywords: Technology and Engineering; Interval simulation; Performance modeling; Statistical simulation

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APA (6th Edition):

Genbrugge, D. (2010). Fast simulation techniques for microprocessor design space exploration. (Thesis). Ghent University. Retrieved from http://hdl.handle.net/1854/LU-867493

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):

Genbrugge, Davy. “Fast simulation techniques for microprocessor design space exploration.” 2010. Thesis, Ghent University. Accessed October 18, 2019. http://hdl.handle.net/1854/LU-867493.

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

MLA Handbook (7th Edition):

Genbrugge, Davy. “Fast simulation techniques for microprocessor design space exploration.” 2010. Web. 18 Oct 2019.

Vancouver:

Genbrugge D. Fast simulation techniques for microprocessor design space exploration. [Internet] [Thesis]. Ghent University; 2010. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1854/LU-867493.

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

Council of Science Editors:

Genbrugge D. Fast simulation techniques for microprocessor design space exploration. [Thesis]. Ghent University; 2010. Available from: http://hdl.handle.net/1854/LU-867493

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


University of Waterloo

41. 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 October 18, 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. 18 Oct 2019.

Vancouver:

Karimi K. The Characterization of Graphene Paper for Flexible Electronics Application. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2019 Oct 18]. 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

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

Degree: PhD, Engineering, 2017, Virginia Commonwealth University

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Elyas, Seyyed Hamid, 8045266. “Synthetic Modeling of Power Grids Based on Statistical Analysis.” 2017. Doctoral Dissertation, Virginia Commonwealth University. Accessed October 18, 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. 18 Oct 2019.

Vancouver:

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

Council of Science Editors:

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


University of Missouri – Columbia

43. Wang, Ting. Bayesian lasso for random intercept factor model.

Degree: 2013, University of Missouri – Columbia

 Structural Equation Models (SEM) are often used in psychological research. In many studies, determining the number of variables is di fficult because maximum likelihood estimates… (more)

Subjects/Keywords: Structural equation modeling; Factor analysis; Bayesian statistical decision theory

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APA (6th Edition):

Wang, T. (2013). Bayesian lasso for random intercept factor model. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/43033

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):

Wang, Ting. “Bayesian lasso for random intercept factor model.” 2013. Thesis, University of Missouri – Columbia. Accessed October 18, 2019. http://hdl.handle.net/10355/43033.

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

MLA Handbook (7th Edition):

Wang, Ting. “Bayesian lasso for random intercept factor model.” 2013. Web. 18 Oct 2019.

Vancouver:

Wang T. Bayesian lasso for random intercept factor model. [Internet] [Thesis]. University of Missouri – Columbia; 2013. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10355/43033.

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

Council of Science Editors:

Wang T. Bayesian lasso for random intercept factor model. [Thesis]. University of Missouri – Columbia; 2013. Available from: http://hdl.handle.net/10355/43033

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


University of Minnesota

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

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

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

MLA Handbook (7th Edition):

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

Vancouver:

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

Council of Science Editors:

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


University of Minnesota

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

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

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

MLA Handbook (7th Edition):

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

Vancouver:

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

Council of Science Editors:

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


Rice University

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

Degree: PhD, Engineering, 2013, Rice University

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

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

MLA Handbook (7th Edition):

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

Vancouver:

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

Council of Science Editors:

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


University of Notre Dame

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

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

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

MLA Handbook (7th Edition):

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

Vancouver:

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

Council of Science Editors:

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


University of Southern California

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

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

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

MLA Handbook (7th Edition):

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

Vancouver:

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

Council of Science Editors:

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

49. Wuerges, Inga. Panic Development Mechanisms And Preventive Methods Analysis.

Degree: MS, Space Studies, 2014, University of North Dakota

  Panic Development (PD) is one of the most important areas of Human Factors research due to its debilitating effects during high stress operating conditions… (more)

Subjects/Keywords: Military exercise; Panic; Realistic Training; Statistical Modeling; Stress; Training

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APA (6th Edition):

Wuerges, I. (2014). Panic Development Mechanisms And Preventive Methods Analysis. (Masters Thesis). University of North Dakota. Retrieved from https://commons.und.edu/theses/1609

Chicago Manual of Style (16th Edition):

Wuerges, Inga. “Panic Development Mechanisms And Preventive Methods Analysis.” 2014. Masters Thesis, University of North Dakota. Accessed October 18, 2019. https://commons.und.edu/theses/1609.

MLA Handbook (7th Edition):

Wuerges, Inga. “Panic Development Mechanisms And Preventive Methods Analysis.” 2014. Web. 18 Oct 2019.

Vancouver:

Wuerges I. Panic Development Mechanisms And Preventive Methods Analysis. [Internet] [Masters thesis]. University of North Dakota; 2014. [cited 2019 Oct 18]. Available from: https://commons.und.edu/theses/1609.

Council of Science Editors:

Wuerges I. Panic Development Mechanisms And Preventive Methods Analysis. [Masters Thesis]. University of North Dakota; 2014. Available from: https://commons.und.edu/theses/1609

50. 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 October 18, 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. 18 Oct 2019.

Vancouver:

Sintini I. Statistical Shape and Intensity Modeling of the Shoulder. [Internet] [Thesis]. U of Denver; 2017. [cited 2019 Oct 18]. 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


Brigham Young University

51. 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 October 18, 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. 18 Oct 2019.

Vancouver:

Pfleger PI. Exploring Fit for Nonlinear Structural Equation Models. [Internet] [Masters thesis]. Brigham Young University; 2019. [cited 2019 Oct 18]. 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


Universitat Politècnica de València

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

Degree: 2014, Universitat Politècnica de València

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

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

MLA Handbook (7th Edition):

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

Vancouver:

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

Council of Science Editors:

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


University of New South Wales

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

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

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

MLA Handbook (7th Edition):

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

Vancouver:

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

Council of Science Editors:

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


Boston University

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

Degree: PhD, Physics, 2018, Boston University

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

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

MLA Handbook (7th Edition):

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

Vancouver:

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

Council of Science Editors:

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


Northeastern University

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

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

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

MLA Handbook (7th Edition):

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

Vancouver:

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

Council of Science Editors:

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


Arizona State University

56. 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 October 18, 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. 18 Oct 2019.

Vancouver:

Gonzalez O. Modeling Multifaceted Constructs in Statistical Mediation Analysis: A Bifactor Approach. [Internet] [Masters thesis]. Arizona State University; 2016. [cited 2019 Oct 18]. 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

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

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Tasdighi, Ali. “Confronting the natural variability and modeling uncertainty of nonpoint source pollution in water quality management.” 2017. Doctoral Dissertation, Colorado State University. Accessed October 18, 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. 18 Oct 2019.

Vancouver:

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

Council of Science Editors:

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


Colorado State University

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

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Brogan, John. “Development of a decision threshold for radiological source detection utilizing Bayesian statistical techniques applied to gross count measurements.” 2018. Doctoral Dissertation, Colorado State University. Accessed October 18, 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. 18 Oct 2019.

Vancouver:

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

Council of Science Editors:

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


University of Arizona

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

Degree: 2011, University of Arizona

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

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

MLA Handbook (7th Edition):

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

Vancouver:

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

Council of Science Editors:

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


Michigan State University

60. 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 October 18, 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. 18 Oct 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 Oct 18]. 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

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