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You searched for subject:(Statistical modeling). Showing records 1 – 30 of 618 total matches.

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University of Western Ontario

1. Zang, Yishan. Advances in Moment-Based Distributional Methodologies.

Degree: 2019, University of Western Ontario

 This thesis comprises various results that rely on the moments of a distribution or the sample moments associated with a set of observations. Since a… (more)

Subjects/Keywords: Density approximation; data modeling; quasi-Monte Carlo samples; classification of tail behavior; quadratic forms.; Statistical Methodology

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APA (6th Edition):

Zang, Y. (2019). Advances in Moment-Based Distributional Methodologies. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/6304

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):

Zang, Yishan. “Advances in Moment-Based Distributional Methodologies.” 2019. Thesis, University of Western Ontario. Accessed October 13, 2019. https://ir.lib.uwo.ca/etd/6304.

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

MLA Handbook (7th Edition):

Zang, Yishan. “Advances in Moment-Based Distributional Methodologies.” 2019. Web. 13 Oct 2019.

Vancouver:

Zang Y. Advances in Moment-Based Distributional Methodologies. [Internet] [Thesis]. University of Western Ontario; 2019. [cited 2019 Oct 13]. Available from: https://ir.lib.uwo.ca/etd/6304.

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

Council of Science Editors:

Zang Y. Advances in Moment-Based Distributional Methodologies. [Thesis]. University of Western Ontario; 2019. Available from: https://ir.lib.uwo.ca/etd/6304

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

2. Zhu, Zuowei. Modèles géométriques avec defauts pour la fabrication additive : Skin Model Shapes for Additive Manufacturing.

Degree: Docteur es, Génie mécanique, 2019, Paris Saclay

Les différentes étapes et processus de la fabrication additive (FA) induisent des erreurs de sources multiples et complexes qui soulèvent des problèmes majeurs au niveau… (more)

Subjects/Keywords: Skin Model Shapes; Fabrication additive; Modélisation des écarts géométriques; Analyse Modale Statistique; Transformée en Cosinus Discrète; Analyse Statistique des Formes; Skin Model Shapes; Additive Manufacturing; Geometric deviation modeling; Statistical modal analysis; Discrete Cosine Transform; Statistical Shape Analysis

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APA (6th Edition):

Zhu, Z. (2019). Modèles géométriques avec defauts pour la fabrication additive : Skin Model Shapes for Additive Manufacturing. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2019SACLN021

Chicago Manual of Style (16th Edition):

Zhu, Zuowei. “Modèles géométriques avec defauts pour la fabrication additive : Skin Model Shapes for Additive Manufacturing.” 2019. Doctoral Dissertation, Paris Saclay. Accessed October 13, 2019. http://www.theses.fr/2019SACLN021.

MLA Handbook (7th Edition):

Zhu, Zuowei. “Modèles géométriques avec defauts pour la fabrication additive : Skin Model Shapes for Additive Manufacturing.” 2019. Web. 13 Oct 2019.

Vancouver:

Zhu Z. Modèles géométriques avec defauts pour la fabrication additive : Skin Model Shapes for Additive Manufacturing. [Internet] [Doctoral dissertation]. Paris Saclay; 2019. [cited 2019 Oct 13]. Available from: http://www.theses.fr/2019SACLN021.

Council of Science Editors:

Zhu Z. Modèles géométriques avec defauts pour la fabrication additive : Skin Model Shapes for Additive Manufacturing. [Doctoral Dissertation]. Paris Saclay; 2019. Available from: http://www.theses.fr/2019SACLN021

3. Hewitt, Joshua. Statistical modeling and computing for climate data.

Degree: PhD, Statistics, 2019, Colorado State University

 The motivation for this thesis is to provide improved statistical models and approaches to statistical computing for analyzing climate patterns over short and long distances.… (more)

Subjects/Keywords: Climate; Statistical computing; Hierarchical modeling; Bayesian statistics

…uncertainty, it can be difficult to adapt statistical modeling practices to climate processes… …precipitation. Accordingly, the statistical modeling of spatially-referenced extreme values has been… …models for modeling teleconnections Introduction… …this thesis is to provide improved statistical models and approaches to statistical computing… …x29;. As estimation of statistical models for climate data is computationally expensive, I… 

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APA (6th Edition):

Hewitt, J. (2019). Statistical modeling and computing for climate data. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/195408

Chicago Manual of Style (16th Edition):

Hewitt, Joshua. “Statistical modeling and computing for climate data.” 2019. Doctoral Dissertation, Colorado State University. Accessed October 13, 2019. http://hdl.handle.net/10217/195408.

MLA Handbook (7th Edition):

Hewitt, Joshua. “Statistical modeling and computing for climate data.” 2019. Web. 13 Oct 2019.

Vancouver:

Hewitt J. Statistical modeling and computing for climate data. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/10217/195408.

Council of Science Editors:

Hewitt J. Statistical modeling and computing for climate data. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195408


Brigham Young University

4. 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 13, 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. 13 Oct 2019.

Vancouver:

Pfleger PI. Exploring Fit for Nonlinear Structural Equation Models. [Internet] [Masters thesis]. Brigham Young University; 2019. [cited 2019 Oct 13]. 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


Université de Montréal

5. Rousseau, Olivier. Accélération de l'exploration de l'espace chimique du cytochrome P450 BM3 par des méthodes de criblage à haut débit et bio-informatiques .

Degree: 2019, Université de Montréal

Subjects/Keywords: Analyse de composantes indépendantes du temps et de la structure; analyse statistique; automatisation; biocatalyse; cétone de framboise; criblage à haut débit; cytochrome P450 BM3; dynamique moléculaire; indigo; ingénierie de protéines; modélisation; mutagénèse; oxydation; séquençage nouvelle génération; Automation; Biocatalysis; High-throughput screening; Modeling; Molecular dynamics; Mutagenesis; Next-generation sequencing; Oxidation; Protein engineering; Raspberry ketone; Statistical analysis; Time-structure independent component analysis

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

APA (6th Edition):

Rousseau, O. (2019). Accélération de l'exploration de l'espace chimique du cytochrome P450 BM3 par des méthodes de criblage à haut débit et bio-informatiques . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/21949

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):

Rousseau, Olivier. “Accélération de l'exploration de l'espace chimique du cytochrome P450 BM3 par des méthodes de criblage à haut débit et bio-informatiques .” 2019. Thesis, Université de Montréal. Accessed October 13, 2019. http://hdl.handle.net/1866/21949.

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

MLA Handbook (7th Edition):

Rousseau, Olivier. “Accélération de l'exploration de l'espace chimique du cytochrome P450 BM3 par des méthodes de criblage à haut débit et bio-informatiques .” 2019. Web. 13 Oct 2019.

Vancouver:

Rousseau O. Accélération de l'exploration de l'espace chimique du cytochrome P450 BM3 par des méthodes de criblage à haut débit et bio-informatiques . [Internet] [Thesis]. Université de Montréal; 2019. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1866/21949.

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

Council of Science Editors:

Rousseau O. Accélération de l'exploration de l'espace chimique du cytochrome P450 BM3 par des méthodes de criblage à haut débit et bio-informatiques . [Thesis]. Université de Montréal; 2019. Available from: http://hdl.handle.net/1866/21949

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

6. Silva, Marisela Gonçalves da. Transporte de doentes não urgentes : elementos de modelação estatística e melhorias potenciais de eficiência via otimização de roteamento .

Degree: 2019, Universidade Aberta

 Com este trabalho pretende-se averiguar, de acordo com a realidade de um caso real em transportes de ambulâncias, quais as variáveis que têm maior importância… (more)

Subjects/Keywords: Modelação estatística; Transportes de doentes não urgentes; Roteamento; Ambulâncias; Doentes; 2014; Porto Santo; Madeira; Elements of statistical modeling; Non-urgent patient routing problem; Dial-a-Ride problem

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APA (6th Edition):

Silva, M. G. d. (2019). Transporte de doentes não urgentes : elementos de modelação estatística e melhorias potenciais de eficiência via otimização de roteamento . (Masters Thesis). Universidade Aberta. Retrieved from http://hdl.handle.net/10400.2/8080

Chicago Manual of Style (16th Edition):

Silva, Marisela Gonçalves da. “Transporte de doentes não urgentes : elementos de modelação estatística e melhorias potenciais de eficiência via otimização de roteamento .” 2019. Masters Thesis, Universidade Aberta. Accessed October 13, 2019. http://hdl.handle.net/10400.2/8080.

MLA Handbook (7th Edition):

Silva, Marisela Gonçalves da. “Transporte de doentes não urgentes : elementos de modelação estatística e melhorias potenciais de eficiência via otimização de roteamento .” 2019. Web. 13 Oct 2019.

Vancouver:

Silva MGd. Transporte de doentes não urgentes : elementos de modelação estatística e melhorias potenciais de eficiência via otimização de roteamento . [Internet] [Masters thesis]. Universidade Aberta; 2019. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/10400.2/8080.

Council of Science Editors:

Silva MGd. Transporte de doentes não urgentes : elementos de modelação estatística e melhorias potenciais de eficiência via otimização de roteamento . [Masters Thesis]. Universidade Aberta; 2019. Available from: http://hdl.handle.net/10400.2/8080


Stellenbosch University

7. Pretorius, Jani. Preconditioning for feature selection in classification.

Degree: MCom, Statistics and Actuarial Science, 2019, Stellenbosch University

ENGLISH SUMMARY : Increased dimensionality of data is a clear trend that has been observed over the past few decades. However, analysing high-dimensional data in… (more)

Subjects/Keywords: High-dimensional data  – Statistical methods; Preconditioning; Statistical learning theory; Supervised learning (Machine learning); Dimension reduction (Statistics); Variables (Mathematics)  – Statistical methods; Predictive modeling; Discriminant analysis; UCTD

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APA (6th Edition):

Pretorius, J. (2019). Preconditioning for feature selection in classification. (Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/106057

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):

Pretorius, Jani. “Preconditioning for feature selection in classification.” 2019. Thesis, Stellenbosch University. Accessed October 13, 2019. http://hdl.handle.net/10019.1/106057.

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

MLA Handbook (7th Edition):

Pretorius, Jani. “Preconditioning for feature selection in classification.” 2019. Web. 13 Oct 2019.

Vancouver:

Pretorius J. Preconditioning for feature selection in classification. [Internet] [Thesis]. Stellenbosch University; 2019. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/10019.1/106057.

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

Council of Science Editors:

Pretorius J. Preconditioning for feature selection in classification. [Thesis]. Stellenbosch University; 2019. Available from: http://hdl.handle.net/10019.1/106057

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


Stellenbosch University

8. Singh, Kiran Ryan. Predicting equity movements using structural models of debt pricing and statistical learning.

Degree: MCom, Statistics and Actuarial Science, 2019, Stellenbosch University

ENGLISH SUMMARY : Valuation is not an interesting problem in corporate finance, it is the only problem. Price and value are assumed to be the… (more)

Subjects/Keywords: Stock price forecasting  – Statistical methods; Stocks  – Forecasting  – Statistical methods; Value  – Economic aspects; Structural equation modeling; UCTD

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APA (6th Edition):

Singh, K. R. (2019). Predicting equity movements using structural models of debt pricing and statistical learning. (Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/105931

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):

Singh, Kiran Ryan. “Predicting equity movements using structural models of debt pricing and statistical learning.” 2019. Thesis, Stellenbosch University. Accessed October 13, 2019. http://hdl.handle.net/10019.1/105931.

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

MLA Handbook (7th Edition):

Singh, Kiran Ryan. “Predicting equity movements using structural models of debt pricing and statistical learning.” 2019. Web. 13 Oct 2019.

Vancouver:

Singh KR. Predicting equity movements using structural models of debt pricing and statistical learning. [Internet] [Thesis]. Stellenbosch University; 2019. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/10019.1/105931.

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

Council of Science Editors:

Singh KR. Predicting equity movements using structural models of debt pricing and statistical learning. [Thesis]. Stellenbosch University; 2019. Available from: http://hdl.handle.net/10019.1/105931

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


Montana Tech

9. Stark, Benjamin A. Statistical Modeling of Influenza-Like-Illness in Montana using Spatial and Temporal Methods.

Degree: MA, 2019, Montana Tech

  Studying air pollution and public health has been a historically important question in science. It has long been hypothesized that severe air pollution conditions… (more)

Subjects/Keywords: Influenza; particulate matter; spatio-temporal modeling; generalized linear models; epidemiology; Applied Statistics; Biostatistics; Statistical Methodology; Statistical Models; Statistical Theory; Vital and Health Statistics

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APA (6th Edition):

Stark, B. A. (2019). Statistical Modeling of Influenza-Like-Illness in Montana using Spatial and Temporal Methods. (Masters Thesis). Montana Tech. Retrieved from https://scholarworks.umt.edu/etd/11410

Chicago Manual of Style (16th Edition):

Stark, Benjamin A. “Statistical Modeling of Influenza-Like-Illness in Montana using Spatial and Temporal Methods.” 2019. Masters Thesis, Montana Tech. Accessed October 13, 2019. https://scholarworks.umt.edu/etd/11410.

MLA Handbook (7th Edition):

Stark, Benjamin A. “Statistical Modeling of Influenza-Like-Illness in Montana using Spatial and Temporal Methods.” 2019. Web. 13 Oct 2019.

Vancouver:

Stark BA. Statistical Modeling of Influenza-Like-Illness in Montana using Spatial and Temporal Methods. [Internet] [Masters thesis]. Montana Tech; 2019. [cited 2019 Oct 13]. Available from: https://scholarworks.umt.edu/etd/11410.

Council of Science Editors:

Stark BA. Statistical Modeling of Influenza-Like-Illness in Montana using Spatial and Temporal Methods. [Masters Thesis]. Montana Tech; 2019. Available from: https://scholarworks.umt.edu/etd/11410


UCLA

10. SUN, HAN. A Data-driven Building Seismic Response Prediction Framework: from Simulation and Recordings to Statistical Learning.

Degree: Civil and Environmental Engineering, 2019, UCLA

 Structural seismic resilience society has been grown rapidly in the past three decades. Extensive probabilistic techniques have been developed to address uncertainties from ground motions… (more)

Subjects/Keywords: Civil engineering; machine learning; rapid damage assessment; seismic instrumentation and monitoring; seismic response demands; statistical modeling; tall building

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APA (6th Edition):

SUN, H. (2019). A Data-driven Building Seismic Response Prediction Framework: from Simulation and Recordings to Statistical Learning. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/4b56h24z

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):

SUN, HAN. “A Data-driven Building Seismic Response Prediction Framework: from Simulation and Recordings to Statistical Learning.” 2019. Thesis, UCLA. Accessed October 13, 2019. http://www.escholarship.org/uc/item/4b56h24z.

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

MLA Handbook (7th Edition):

SUN, HAN. “A Data-driven Building Seismic Response Prediction Framework: from Simulation and Recordings to Statistical Learning.” 2019. Web. 13 Oct 2019.

Vancouver:

SUN H. A Data-driven Building Seismic Response Prediction Framework: from Simulation and Recordings to Statistical Learning. [Internet] [Thesis]. UCLA; 2019. [cited 2019 Oct 13]. Available from: http://www.escholarship.org/uc/item/4b56h24z.

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

Council of Science Editors:

SUN H. A Data-driven Building Seismic Response Prediction Framework: from Simulation and Recordings to Statistical Learning. [Thesis]. UCLA; 2019. Available from: http://www.escholarship.org/uc/item/4b56h24z

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


UCLA

11. Xu, Yuanlu. 3D Scene and Event Understanding by Joint Spatio-temporal Inference and Reasoning.

Degree: Computer Science, 2019, UCLA

 It is a challenging yet crucial task to have a comprehensive understanding of human activities and events in the 3D scene. This task involves many… (more)

Subjects/Keywords: Artificial intelligence; Computer science; Statistics; 3D Vision; Computer Vision; Event Understanding; Machine Learning; Scene Parsing; Statistical Modeling

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APA (6th Edition):

Xu, Y. (2019). 3D Scene and Event Understanding by Joint Spatio-temporal Inference and Reasoning. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/3w1664f1

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):

Xu, Yuanlu. “3D Scene and Event Understanding by Joint Spatio-temporal Inference and Reasoning.” 2019. Thesis, UCLA. Accessed October 13, 2019. http://www.escholarship.org/uc/item/3w1664f1.

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

MLA Handbook (7th Edition):

Xu, Yuanlu. “3D Scene and Event Understanding by Joint Spatio-temporal Inference and Reasoning.” 2019. Web. 13 Oct 2019.

Vancouver:

Xu Y. 3D Scene and Event Understanding by Joint Spatio-temporal Inference and Reasoning. [Internet] [Thesis]. UCLA; 2019. [cited 2019 Oct 13]. Available from: http://www.escholarship.org/uc/item/3w1664f1.

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

Council of Science Editors:

Xu Y. 3D Scene and Event Understanding by Joint Spatio-temporal Inference and Reasoning. [Thesis]. UCLA; 2019. Available from: http://www.escholarship.org/uc/item/3w1664f1

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

12. Khan, Mohammed Salman. A Topic Modeling approach for Code Clone Detection.

Degree: 2019, University of North Florida

 In this thesis work, the potential benefits of Latent Dirichlet Allocation (LDA) as a technique for code clone detection has been described. The objective is… (more)

Subjects/Keywords: Thesis; University of North Florida; UNF; Dissertations, Academic  – UNF  – Master of Science in Computer and Information Sciences; Dissertations, Academic  – UNF  – Computing; code clone; clone detection; topic modeling; machine learning; software refactoring; software engineering; Latent Dirichlet Allocation  – Testing; Topic models  – Testing; Generative statistical models  – Testing; Code clone detection  – Statistical models; Code clone detection  – Software; CloneTM  – Testing; Computer and Systems Architecture; Software Engineering

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APA (6th Edition):

Khan, M. S. (2019). A Topic Modeling approach for Code Clone Detection. (Thesis). University of North Florida. Retrieved from https://digitalcommons.unf.edu/etd/874

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):

Khan, Mohammed Salman. “A Topic Modeling approach for Code Clone Detection.” 2019. Thesis, University of North Florida. Accessed October 13, 2019. https://digitalcommons.unf.edu/etd/874.

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

MLA Handbook (7th Edition):

Khan, Mohammed Salman. “A Topic Modeling approach for Code Clone Detection.” 2019. Web. 13 Oct 2019.

Vancouver:

Khan MS. A Topic Modeling approach for Code Clone Detection. [Internet] [Thesis]. University of North Florida; 2019. [cited 2019 Oct 13]. Available from: https://digitalcommons.unf.edu/etd/874.

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

Council of Science Editors:

Khan MS. A Topic Modeling approach for Code Clone Detection. [Thesis]. University of North Florida; 2019. Available from: https://digitalcommons.unf.edu/etd/874

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

13. Lyras, Nikolaos. Optical satellite networks performance: channel modeling, mitigation techniques and optimization.

Degree: 2019, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ)

 The scope of this Thesis is the study of satellite communication systems operating at optical frequencies and the development of accurate channel models required for… (more)

Subjects/Keywords: Δορυφορικές επικοινωνίες; Ασύρματες οπτικές επικοινωνίες; Βελτιστοποίηση; Μοντελοποίηση; Στοχαστικά μοντέλα; Στατιστικά μοντέλα; Satellite communications; Optical communications systems; Optimization; Modeling; Stochastic modelling; Statistical analysis

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APA (6th Edition):

Lyras, N. (2019). Optical satellite networks performance: channel modeling, mitigation techniques and optimization. (Thesis). National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Retrieved from http://hdl.handle.net/10442/hedi/46051

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):

Lyras, Nikolaos. “Optical satellite networks performance: channel modeling, mitigation techniques and optimization.” 2019. Thesis, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Accessed October 13, 2019. http://hdl.handle.net/10442/hedi/46051.

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

MLA Handbook (7th Edition):

Lyras, Nikolaos. “Optical satellite networks performance: channel modeling, mitigation techniques and optimization.” 2019. Web. 13 Oct 2019.

Vancouver:

Lyras N. Optical satellite networks performance: channel modeling, mitigation techniques and optimization. [Internet] [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2019. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/10442/hedi/46051.

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

Council of Science Editors:

Lyras N. Optical satellite networks performance: channel modeling, mitigation techniques and optimization. [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2019. Available from: http://hdl.handle.net/10442/hedi/46051

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

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

Degree: 2018, University of Oregon

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

Subjects/Keywords: Network Theory; Statistical Modeling

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Trevelyan, Alexander. “Nonequilibrium Statistical Models: Guided Network Growth Under Localized Information and Perspectives on Electron Diffusion in Conductors.” 2018. Thesis, University of Oregon. Accessed October 13, 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. 13 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 13]. 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 Western Ontario

15. Mohtashami, Syed Reza. Electroflotation for Treatment of Paint Wastewater: Experiments, Kinetics and Hydrodynamics.

Degree: 2018, University of Western Ontario

 Electroflotation (EF) is a process used to remove suspended particles from water using the gas bubbles generated from the water electrolysis. This dissertation focuses on… (more)

Subjects/Keywords: Electroflotation; Auto Paint; Industrial Wastewater; Kinetic Study; Residence Time Distribution; Reaction Rate; Statistical Analysis; Wastewater Treatment; Continuous-flow; Empirical Modeling; Environmental Engineering; Other Civil and Environmental Engineering

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APA (6th Edition):

Mohtashami, S. R. (2018). Electroflotation for Treatment of Paint Wastewater: Experiments, Kinetics and Hydrodynamics. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5871

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):

Mohtashami, Syed Reza. “Electroflotation for Treatment of Paint Wastewater: Experiments, Kinetics and Hydrodynamics.” 2018. Thesis, University of Western Ontario. Accessed October 13, 2019. https://ir.lib.uwo.ca/etd/5871.

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

MLA Handbook (7th Edition):

Mohtashami, Syed Reza. “Electroflotation for Treatment of Paint Wastewater: Experiments, Kinetics and Hydrodynamics.” 2018. Web. 13 Oct 2019.

Vancouver:

Mohtashami SR. Electroflotation for Treatment of Paint Wastewater: Experiments, Kinetics and Hydrodynamics. [Internet] [Thesis]. University of Western Ontario; 2018. [cited 2019 Oct 13]. Available from: https://ir.lib.uwo.ca/etd/5871.

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

Council of Science Editors:

Mohtashami SR. Electroflotation for Treatment of Paint Wastewater: Experiments, Kinetics and Hydrodynamics. [Thesis]. University of Western Ontario; 2018. Available from: https://ir.lib.uwo.ca/etd/5871

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

16. Nouguier, Damien. Etude statistique et modélisation de la dégradation NBTI pour les technologies CMOS FDSOI et BULK. : Statistical study and modeling of NBTI degradation for CMOS FDSOI and BULK technologies.

Degree: Docteur es, Nano electronique et nano technologies, 2018, Grenoble Alpes

L’industrie microélectronique arrive à concevoir des transistors atteignant dimensions de l’ordre de la dizaine de nanomètres. Et ce faisant elle tend atteindre ses limites en… (more)

Subjects/Keywords: Bti; Modèle; Fiabilité; Variabilité; Cmos/pmos; Statistique; Bti; Modeling; Fiability; Variability; Cmos/pmos; Statistical; 620

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APA (6th Edition):

Nouguier, D. (2018). Etude statistique et modélisation de la dégradation NBTI pour les technologies CMOS FDSOI et BULK. : Statistical study and modeling of NBTI degradation for CMOS FDSOI and BULK technologies. (Doctoral Dissertation). Grenoble Alpes. Retrieved from http://www.theses.fr/2018GREAT068

Chicago Manual of Style (16th Edition):

Nouguier, Damien. “Etude statistique et modélisation de la dégradation NBTI pour les technologies CMOS FDSOI et BULK. : Statistical study and modeling of NBTI degradation for CMOS FDSOI and BULK technologies.” 2018. Doctoral Dissertation, Grenoble Alpes. Accessed October 13, 2019. http://www.theses.fr/2018GREAT068.

MLA Handbook (7th Edition):

Nouguier, Damien. “Etude statistique et modélisation de la dégradation NBTI pour les technologies CMOS FDSOI et BULK. : Statistical study and modeling of NBTI degradation for CMOS FDSOI and BULK technologies.” 2018. Web. 13 Oct 2019.

Vancouver:

Nouguier D. Etude statistique et modélisation de la dégradation NBTI pour les technologies CMOS FDSOI et BULK. : Statistical study and modeling of NBTI degradation for CMOS FDSOI and BULK technologies. [Internet] [Doctoral dissertation]. Grenoble Alpes; 2018. [cited 2019 Oct 13]. Available from: http://www.theses.fr/2018GREAT068.

Council of Science Editors:

Nouguier D. Etude statistique et modélisation de la dégradation NBTI pour les technologies CMOS FDSOI et BULK. : Statistical study and modeling of NBTI degradation for CMOS FDSOI and BULK technologies. [Doctoral Dissertation]. Grenoble Alpes; 2018. Available from: http://www.theses.fr/2018GREAT068


Vrije Universiteit Amsterdam

17. Miok, V. Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling .

Degree: 2018, Vrije Universiteit Amsterdam

Subjects/Keywords: HPV; cervical cancer; integrative statistical modeling; time series; differential expression; pathway analysis; longitudinal data; network reconstruction

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APA (6th Edition):

Miok, V. (2018). Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling . (Doctoral Dissertation). Vrije Universiteit Amsterdam. Retrieved from http://hdl.handle.net/1871/55735

Chicago Manual of Style (16th Edition):

Miok, V. “Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling .” 2018. Doctoral Dissertation, Vrije Universiteit Amsterdam. Accessed October 13, 2019. http://hdl.handle.net/1871/55735.

MLA Handbook (7th Edition):

Miok, V. “Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling .” 2018. Web. 13 Oct 2019.

Vancouver:

Miok V. Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling . [Internet] [Doctoral dissertation]. Vrije Universiteit Amsterdam; 2018. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1871/55735.

Council of Science Editors:

Miok V. Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling . [Doctoral Dissertation]. Vrije Universiteit Amsterdam; 2018. Available from: http://hdl.handle.net/1871/55735


Colorado State University

18. 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 13, 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. 13 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 13]. 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

19. Yan, Xiaohan. Statistical Learning for Structural Patterns with Trees .

Degree: 2018, Cornell University

 In achieving structural patterns in parameters, we focus on two challenging cases in which (1) hierarchical sparsity pattern is desired such that one group of… (more)

Subjects/Keywords: Convex optimization; Statistics; hierarchical sparse modeling; l1 penalization; rare feature; statistical learning

…1 Introduction 2 A Choice of Two Regularizers in Hierarchical Sparse Modeling 2.1… …Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.2 Hierarchical Sparse Modeling… …2.5.2 Statistical Properties of Σ̂LOG . . . . . . . . . . . . . . . 2.5.3 Simulation Study… …3.3.3 The Optimization Problem . . . . . . . . . . . . . . . . . . 3.4 Statistical Theory… …features is often made out of practical reason: modeling highly sparse data is hard because of… 

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APA (6th Edition):

Yan, X. (2018). Statistical Learning for Structural Patterns with Trees . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59513

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):

Yan, Xiaohan. “Statistical Learning for Structural Patterns with Trees .” 2018. Thesis, Cornell University. Accessed October 13, 2019. http://hdl.handle.net/1813/59513.

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

MLA Handbook (7th Edition):

Yan, Xiaohan. “Statistical Learning for Structural Patterns with Trees .” 2018. Web. 13 Oct 2019.

Vancouver:

Yan X. Statistical Learning for Structural Patterns with Trees . [Internet] [Thesis]. Cornell University; 2018. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1813/59513.

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

Council of Science Editors:

Yan X. Statistical Learning for Structural Patterns with Trees . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59513

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


Rochester Institute of Technology

20. 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 13, 2019. https://scholarworks.rit.edu/theses/9897.

MLA Handbook (7th Edition):

Graydon, Tucker B. “Novel Detection and Analysis using Deep Variational Autoencoders.” 2018. Web. 13 Oct 2019.

Vancouver:

Graydon TB. Novel Detection and Analysis using Deep Variational Autoencoders. [Internet] [Masters thesis]. Rochester Institute of Technology; 2018. [cited 2019 Oct 13]. 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


Univerzitet u Beogradu

21. Ćuk, Marina D. 1987-. Hidrogeohemija prirodnih radioaktivnih elemenata u podzemnim vodama Srbije.

Degree: Rudarsko-geološki fakultet, 2018, Univerzitet u Beogradu

Geološko inženjerstvo - Hidrogeologija / Geological engineering - Hydrogeology

Osnovni cilj doktorske disertacije predstavljao je definisanje prirodnih koncentracija (engl. background values) U, Th, i K u podzemnim vodama, i definisanje hidrogeohemijskih uslova koji utiču na distribuciju navedenih elemenata u podzemnim vodama...

Advisors/Committee Members: Papić, Petar..

Subjects/Keywords: natural radioactive elements; groundwater; different geochemical environments; hydrogeochemical conditions; a non-parametric statistical analysis; logistic model; hydrogeochemical modeling

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APA (6th Edition):

Ćuk, M. D. 1. (2018). Hidrogeohemija prirodnih radioaktivnih elemenata u podzemnim vodama Srbije. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:17780/bdef:Content/get

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):

Ćuk, Marina D 1987-. “Hidrogeohemija prirodnih radioaktivnih elemenata u podzemnim vodama Srbije.” 2018. Thesis, Univerzitet u Beogradu. Accessed October 13, 2019. https://fedorabg.bg.ac.rs/fedora/get/o:17780/bdef:Content/get.

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

MLA Handbook (7th Edition):

Ćuk, Marina D 1987-. “Hidrogeohemija prirodnih radioaktivnih elemenata u podzemnim vodama Srbije.” 2018. Web. 13 Oct 2019.

Vancouver:

Ćuk MD1. Hidrogeohemija prirodnih radioaktivnih elemenata u podzemnim vodama Srbije. [Internet] [Thesis]. Univerzitet u Beogradu; 2018. [cited 2019 Oct 13]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:17780/bdef:Content/get.

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

Council of Science Editors:

Ćuk MD1. Hidrogeohemija prirodnih radioaktivnih elemenata u podzemnim vodama Srbije. [Thesis]. Univerzitet u Beogradu; 2018. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:17780/bdef:Content/get

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


University of Kansas

22. St.Amand, Joseph. Learning to Measure: Distance Metric Learning with Structured Sparsity.

Degree: PhD, Electrical Engineering & Computer Science, 2018, University of Kansas

 Many important machine learning and data mining algorithms rely on a measure to provide a notion of distance or dissimilarity. Naive metrics such as the… (more)

Subjects/Keywords: Artificial intelligence; Computer science; Information science; classification; machine learning; metric learning; regression; sparse models; statistical modeling

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APA (6th Edition):

St.Amand, J. (2018). Learning to Measure: Distance Metric Learning with Structured Sparsity. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/27811

Chicago Manual of Style (16th Edition):

St.Amand, Joseph. “Learning to Measure: Distance Metric Learning with Structured Sparsity.” 2018. Doctoral Dissertation, University of Kansas. Accessed October 13, 2019. http://hdl.handle.net/1808/27811.

MLA Handbook (7th Edition):

St.Amand, Joseph. “Learning to Measure: Distance Metric Learning with Structured Sparsity.” 2018. Web. 13 Oct 2019.

Vancouver:

St.Amand J. Learning to Measure: Distance Metric Learning with Structured Sparsity. [Internet] [Doctoral dissertation]. University of Kansas; 2018. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1808/27811.

Council of Science Editors:

St.Amand J. Learning to Measure: Distance Metric Learning with Structured Sparsity. [Doctoral Dissertation]. University of Kansas; 2018. Available from: http://hdl.handle.net/1808/27811

23. Ximénez, Carmen. Validation of the cognitive structure of the test of signs by structural equation modeling.

Degree: 2018, Colegio Oficial de Psicólogos del Principado de Asturias

Subjects/Keywords: Cognitive ability; Mathematics; Statistical validity; Structural equation modeling; Psicología

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APA (6th Edition):

Ximénez, C. (2018). Validation of the cognitive structure of the test of signs by structural equation modeling. (Thesis). Colegio Oficial de Psicólogos del Principado de Asturias. Retrieved from http://hdl.handle.net/10486/668942

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):

Ximénez, Carmen. “Validation of the cognitive structure of the test of signs by structural equation modeling.” 2018. Thesis, Colegio Oficial de Psicólogos del Principado de Asturias. Accessed October 13, 2019. http://hdl.handle.net/10486/668942.

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

MLA Handbook (7th Edition):

Ximénez, Carmen. “Validation of the cognitive structure of the test of signs by structural equation modeling.” 2018. Web. 13 Oct 2019.

Vancouver:

Ximénez C. Validation of the cognitive structure of the test of signs by structural equation modeling. [Internet] [Thesis]. Colegio Oficial de Psicólogos del Principado de Asturias; 2018. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/10486/668942.

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

Council of Science Editors:

Ximénez C. Validation of the cognitive structure of the test of signs by structural equation modeling. [Thesis]. Colegio Oficial de Psicólogos del Principado de Asturias; 2018. Available from: http://hdl.handle.net/10486/668942

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

24. Kessel, Dominique. Application of the π* goodness-of-fit index to latent structure models.

Degree: 2018, Colegio Oficial de Psicólogos del Principado de Asturias

Subjects/Keywords: Goodness of fit; Mathematical modeling; Statistical estimation; Statistics; Algorithms; Frequency distribution; Psicología

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APA (6th Edition):

Kessel, D. (2018). Application of the π* goodness-of-fit index to latent structure models. (Thesis). Colegio Oficial de Psicólogos del Principado de Asturias. Retrieved from http://hdl.handle.net/10486/668946

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):

Kessel, Dominique. “Application of the π* goodness-of-fit index to latent structure models.” 2018. Thesis, Colegio Oficial de Psicólogos del Principado de Asturias. Accessed October 13, 2019. http://hdl.handle.net/10486/668946.

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

MLA Handbook (7th Edition):

Kessel, Dominique. “Application of the π* goodness-of-fit index to latent structure models.” 2018. Web. 13 Oct 2019.

Vancouver:

Kessel D. Application of the π* goodness-of-fit index to latent structure models. [Internet] [Thesis]. Colegio Oficial de Psicólogos del Principado de Asturias; 2018. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/10486/668946.

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

Council of Science Editors:

Kessel D. Application of the π* goodness-of-fit index to latent structure models. [Thesis]. Colegio Oficial de Psicólogos del Principado de Asturias; 2018. Available from: http://hdl.handle.net/10486/668946

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


Wright State University

25. Campbell, Marcus James. A Simulation Method for Studying Effects of Site-Specific Clutter on SAR-GMTI Performance.

Degree: MSEE, Electrical Engineering, 2018, Wright State University

 Synthetic aperture radar (SAR) is an invaluable tool for detection of ground moving targets when combined with processing techniques of ground moving target indication (GMTI).… (more)

Subjects/Keywords: Electrical Engineering; SAR-GMTI; site-specific clutter; simulation; GMTI Performance; DPCA; SINR; statistical clutter modeling; DTED; NLCD

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APA (6th Edition):

Campbell, M. J. (2018). A Simulation Method for Studying Effects of Site-Specific Clutter on SAR-GMTI Performance. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1525351957036997

Chicago Manual of Style (16th Edition):

Campbell, Marcus James. “A Simulation Method for Studying Effects of Site-Specific Clutter on SAR-GMTI Performance.” 2018. Masters Thesis, Wright State University. Accessed October 13, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1525351957036997.

MLA Handbook (7th Edition):

Campbell, Marcus James. “A Simulation Method for Studying Effects of Site-Specific Clutter on SAR-GMTI Performance.” 2018. Web. 13 Oct 2019.

Vancouver:

Campbell MJ. A Simulation Method for Studying Effects of Site-Specific Clutter on SAR-GMTI Performance. [Internet] [Masters thesis]. Wright State University; 2018. [cited 2019 Oct 13]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1525351957036997.

Council of Science Editors:

Campbell MJ. A Simulation Method for Studying Effects of Site-Specific Clutter on SAR-GMTI Performance. [Masters Thesis]. Wright State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1525351957036997


University of Texas – Austin

26. -1969-3778. Statistical modeling of disease emergence.

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

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

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

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APA (6th Edition):

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

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-1969-3778. “Statistical modeling of disease emergence.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed October 13, 2019. http://hdl.handle.net/2152/68092.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-1969-3778. “Statistical modeling of disease emergence.” 2018. Web. 13 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-1969-3778. Statistical modeling of disease emergence. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/2152/68092.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

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

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

27. Mathieu, Jordane. Modèles d'impact statistiques en agriculture : de la prévision saisonnière à la prévision à long terme, en passant par les estimations annuelles : Impact models in agriculture : from seasonal forecast to long-term estimations, including annual estimates.

Degree: Docteur es, Mathématiques appliquées, 2018, Paris Sciences et Lettres

En agriculture, la météo est le principal facteur de variabilité d’une année sur l’autre. Cette thèse vise à construire des modèles statistiques à grande échelle… (more)

Subjects/Keywords: Modélisation statistique; Modèles à effets mixtes; Réseaux de neurones; Régression et classification; Application à la prédiction des rendements agricoles; Modèle à large échelle; Statistical modeling; Mixed effects models; Neural networks; Regression and classification; Application to crop yield prediction; Large scale model; 519

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APA (6th Edition):

Mathieu, J. (2018). Modèles d'impact statistiques en agriculture : de la prévision saisonnière à la prévision à long terme, en passant par les estimations annuelles : Impact models in agriculture : from seasonal forecast to long-term estimations, including annual estimates. (Doctoral Dissertation). Paris Sciences et Lettres. Retrieved from http://www.theses.fr/2018PSLEE006

Chicago Manual of Style (16th Edition):

Mathieu, Jordane. “Modèles d'impact statistiques en agriculture : de la prévision saisonnière à la prévision à long terme, en passant par les estimations annuelles : Impact models in agriculture : from seasonal forecast to long-term estimations, including annual estimates.” 2018. Doctoral Dissertation, Paris Sciences et Lettres. Accessed October 13, 2019. http://www.theses.fr/2018PSLEE006.

MLA Handbook (7th Edition):

Mathieu, Jordane. “Modèles d'impact statistiques en agriculture : de la prévision saisonnière à la prévision à long terme, en passant par les estimations annuelles : Impact models in agriculture : from seasonal forecast to long-term estimations, including annual estimates.” 2018. Web. 13 Oct 2019.

Vancouver:

Mathieu J. Modèles d'impact statistiques en agriculture : de la prévision saisonnière à la prévision à long terme, en passant par les estimations annuelles : Impact models in agriculture : from seasonal forecast to long-term estimations, including annual estimates. [Internet] [Doctoral dissertation]. Paris Sciences et Lettres; 2018. [cited 2019 Oct 13]. Available from: http://www.theses.fr/2018PSLEE006.

Council of Science Editors:

Mathieu J. Modèles d'impact statistiques en agriculture : de la prévision saisonnière à la prévision à long terme, en passant par les estimations annuelles : Impact models in agriculture : from seasonal forecast to long-term estimations, including annual estimates. [Doctoral Dissertation]. Paris Sciences et Lettres; 2018. Available from: http://www.theses.fr/2018PSLEE006

28. TEE SHERN REN. COMPUTER-AIDED DESIGN AND STATISTICAL THERMODYNAMICS OF DNA BIPEDAL NANOWALKERS.

Degree: 2018, National University of Singapore

Subjects/Keywords: DNA; nanomechanics; statistical thermodynamics; molecular modeling; nanodevices

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APA (6th Edition):

REN, T. S. (2018). COMPUTER-AIDED DESIGN AND STATISTICAL THERMODYNAMICS OF DNA BIPEDAL NANOWALKERS. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/142757

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):

REN, TEE SHERN. “COMPUTER-AIDED DESIGN AND STATISTICAL THERMODYNAMICS OF DNA BIPEDAL NANOWALKERS.” 2018. Thesis, National University of Singapore. Accessed October 13, 2019. http://scholarbank.nus.edu.sg/handle/10635/142757.

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

MLA Handbook (7th Edition):

REN, TEE SHERN. “COMPUTER-AIDED DESIGN AND STATISTICAL THERMODYNAMICS OF DNA BIPEDAL NANOWALKERS.” 2018. Web. 13 Oct 2019.

Vancouver:

REN TS. COMPUTER-AIDED DESIGN AND STATISTICAL THERMODYNAMICS OF DNA BIPEDAL NANOWALKERS. [Internet] [Thesis]. National University of Singapore; 2018. [cited 2019 Oct 13]. Available from: http://scholarbank.nus.edu.sg/handle/10635/142757.

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

Council of Science Editors:

REN TS. COMPUTER-AIDED DESIGN AND STATISTICAL THERMODYNAMICS OF DNA BIPEDAL NANOWALKERS. [Thesis]. National University of Singapore; 2018. Available from: http://scholarbank.nus.edu.sg/handle/10635/142757

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


Michigan Technological University

29. Addison, Priscilla. Application of remote sensing and machine learning modeling to post-wildfire debris flow risks.

Degree: PhD, Department of Geological and Mining Engineering and Sciences, 2018, Michigan Technological University

  Historically, post-fire debris flows (DFs) have been mostly more deadly than the fires that preceded them. Fires can transform a location that had no… (more)

Subjects/Keywords: Debris flow prediction; Probability modeling; Decision tree; Hazard assessment; Remote sensing; Synthetic aperture radar; Geological Engineering; Other Earth Sciences; Probability; Statistical Models

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

APA (6th Edition):

Addison, P. (2018). Application of remote sensing and machine learning modeling to post-wildfire debris flow risks. (Doctoral Dissertation). Michigan Technological University. Retrieved from https://digitalcommons.mtu.edu/etdr/703

Chicago Manual of Style (16th Edition):

Addison, Priscilla. “Application of remote sensing and machine learning modeling to post-wildfire debris flow risks.” 2018. Doctoral Dissertation, Michigan Technological University. Accessed October 13, 2019. https://digitalcommons.mtu.edu/etdr/703.

MLA Handbook (7th Edition):

Addison, Priscilla. “Application of remote sensing and machine learning modeling to post-wildfire debris flow risks.” 2018. Web. 13 Oct 2019.

Vancouver:

Addison P. Application of remote sensing and machine learning modeling to post-wildfire debris flow risks. [Internet] [Doctoral dissertation]. Michigan Technological University; 2018. [cited 2019 Oct 13]. Available from: https://digitalcommons.mtu.edu/etdr/703.

Council of Science Editors:

Addison P. Application of remote sensing and machine learning modeling to post-wildfire debris flow risks. [Doctoral Dissertation]. Michigan Technological University; 2018. Available from: https://digitalcommons.mtu.edu/etdr/703


University of Colorado

30. Worsnop, Rochelle Pauline. Extreme Winds: Impacts of Hurricanes and Ramp Events on Wind Energy.

Degree: PhD, 2018, University of Colorado

  Extreme fluctuations of wind cause damaging loads on wind turbines and pose significant difficulties in wind power forecasting. Increased global interest to move from… (more)

Subjects/Keywords: hurricanes; large-eddy simulation; numerical modeling; power ramps; statistical post-processing; wind energy; Applied Statistics; Meteorology; Power and Energy

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

APA (6th Edition):

Worsnop, R. P. (2018). Extreme Winds: Impacts of Hurricanes and Ramp Events on Wind Energy. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/atoc_gradetds/80

Chicago Manual of Style (16th Edition):

Worsnop, Rochelle Pauline. “Extreme Winds: Impacts of Hurricanes and Ramp Events on Wind Energy.” 2018. Doctoral Dissertation, University of Colorado. Accessed October 13, 2019. https://scholar.colorado.edu/atoc_gradetds/80.

MLA Handbook (7th Edition):

Worsnop, Rochelle Pauline. “Extreme Winds: Impacts of Hurricanes and Ramp Events on Wind Energy.” 2018. Web. 13 Oct 2019.

Vancouver:

Worsnop RP. Extreme Winds: Impacts of Hurricanes and Ramp Events on Wind Energy. [Internet] [Doctoral dissertation]. University of Colorado; 2018. [cited 2019 Oct 13]. Available from: https://scholar.colorado.edu/atoc_gradetds/80.

Council of Science Editors:

Worsnop RP. Extreme Winds: Impacts of Hurricanes and Ramp Events on Wind Energy. [Doctoral Dissertation]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/atoc_gradetds/80

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