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You searched for subject:(Statistical model). Showing records 1 – 30 of 681 total matches.

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Dalhousie University

1. Chen, Wei Jr. The Exploration of Effect of Model Misspecification and Development of an Adequacy-Test for Substitution Model in Phylogenetics.

Degree: MS, Department of Mathematics & Statistics - Statistics Division, 2012, Dalhousie University

 It is possible that the maximum likelihood method can give an inconsistent result when the DNA sequences are generated under a tree topology which is… (more)

Subjects/Keywords: model misspecification; statistical test

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

APA (6th Edition):

Chen, W. J. (2012). The Exploration of Effect of Model Misspecification and Development of an Adequacy-Test for Substitution Model in Phylogenetics. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/15705

Chicago Manual of Style (16th Edition):

Chen, Wei Jr. “The Exploration of Effect of Model Misspecification and Development of an Adequacy-Test for Substitution Model in Phylogenetics.” 2012. Masters Thesis, Dalhousie University. Accessed September 29, 2020. http://hdl.handle.net/10222/15705.

MLA Handbook (7th Edition):

Chen, Wei Jr. “The Exploration of Effect of Model Misspecification and Development of an Adequacy-Test for Substitution Model in Phylogenetics.” 2012. Web. 29 Sep 2020.

Vancouver:

Chen WJ. The Exploration of Effect of Model Misspecification and Development of an Adequacy-Test for Substitution Model in Phylogenetics. [Internet] [Masters thesis]. Dalhousie University; 2012. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/10222/15705.

Council of Science Editors:

Chen WJ. The Exploration of Effect of Model Misspecification and Development of an Adequacy-Test for Substitution Model in Phylogenetics. [Masters Thesis]. Dalhousie University; 2012. Available from: http://hdl.handle.net/10222/15705


Columbia University

2. Benoist, Stephane. Conformally invariant random planar objects.

Degree: 2016, Columbia University

 This thesis explores different aspects of a surprising field of research: the conformally invariant scaling limits of planar statistical mechanics models. The aspects developed here… (more)

Subjects/Keywords: Ising model; Statistical mechanics – Mathematical models; Conformal invariants; Statistical mechanics; Mathematics

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APA (6th Edition):

Benoist, S. (2016). Conformally invariant random planar objects. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D80G3K4T

Chicago Manual of Style (16th Edition):

Benoist, Stephane. “Conformally invariant random planar objects.” 2016. Doctoral Dissertation, Columbia University. Accessed September 29, 2020. https://doi.org/10.7916/D80G3K4T.

MLA Handbook (7th Edition):

Benoist, Stephane. “Conformally invariant random planar objects.” 2016. Web. 29 Sep 2020.

Vancouver:

Benoist S. Conformally invariant random planar objects. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2020 Sep 29]. Available from: https://doi.org/10.7916/D80G3K4T.

Council of Science Editors:

Benoist S. Conformally invariant random planar objects. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D80G3K4T


McMaster University

3. Pathmanathan, Thinesh. Dimension Reduction and Clustering of High Dimensional Data using a Mixture of Generalized Hyperbolic Distributions.

Degree: MSc, 2018, McMaster University

Model-based clustering is a probabilistic approach that views each cluster as a component in an appropriate mixture model. The Gaussian mixture model is one of… (more)

Subjects/Keywords: Model-based clustering; dimension reduction; statistical learning

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APA (6th Edition):

Pathmanathan, T. (2018). Dimension Reduction and Clustering of High Dimensional Data using a Mixture of Generalized Hyperbolic Distributions. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/22758

Chicago Manual of Style (16th Edition):

Pathmanathan, Thinesh. “Dimension Reduction and Clustering of High Dimensional Data using a Mixture of Generalized Hyperbolic Distributions.” 2018. Masters Thesis, McMaster University. Accessed September 29, 2020. http://hdl.handle.net/11375/22758.

MLA Handbook (7th Edition):

Pathmanathan, Thinesh. “Dimension Reduction and Clustering of High Dimensional Data using a Mixture of Generalized Hyperbolic Distributions.” 2018. Web. 29 Sep 2020.

Vancouver:

Pathmanathan T. Dimension Reduction and Clustering of High Dimensional Data using a Mixture of Generalized Hyperbolic Distributions. [Internet] [Masters thesis]. McMaster University; 2018. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/11375/22758.

Council of Science Editors:

Pathmanathan T. Dimension Reduction and Clustering of High Dimensional Data using a Mixture of Generalized Hyperbolic Distributions. [Masters Thesis]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/22758


McMaster University

4. Kiwon, Francis. Frequentist Model Averaging for ε-Support Vector Regression.

Degree: MSc, 2019, McMaster University

This thesis studies the problem of frequentist model averaging over a set of multiple ε-support vector regression (SVR) models, where the support vector machine (SVM)… (more)

Subjects/Keywords: Model Averaging; Statistical Learning; Support Vector Regression

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APA (6th Edition):

Kiwon, F. (2019). Frequentist Model Averaging for ε-Support Vector Regression. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/25106

Chicago Manual of Style (16th Edition):

Kiwon, Francis. “Frequentist Model Averaging for ε-Support Vector Regression.” 2019. Masters Thesis, McMaster University. Accessed September 29, 2020. http://hdl.handle.net/11375/25106.

MLA Handbook (7th Edition):

Kiwon, Francis. “Frequentist Model Averaging for ε-Support Vector Regression.” 2019. Web. 29 Sep 2020.

Vancouver:

Kiwon F. Frequentist Model Averaging for ε-Support Vector Regression. [Internet] [Masters thesis]. McMaster University; 2019. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/11375/25106.

Council of Science Editors:

Kiwon F. Frequentist Model Averaging for ε-Support Vector Regression. [Masters Thesis]. McMaster University; 2019. Available from: http://hdl.handle.net/11375/25106


Addis Ababa University

5. Sori, Tefera. Factors Affecting Banks Profitability: An Empirical Study on Ethiopian Private Commercial Banks .

Degree: 2014, Addis Ababa University

 This study examined factors affecting profitability of private commercial banks’ in Ethiopia. The study adopted quantitative research approach and the statistical cost accounting model was… (more)

Subjects/Keywords: Asset Liability Management; Statistical Cost Accounting Model

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APA (6th Edition):

Sori, T. (2014). Factors Affecting Banks Profitability: An Empirical Study on Ethiopian Private Commercial Banks . (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/5351

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):

Sori, Tefera. “Factors Affecting Banks Profitability: An Empirical Study on Ethiopian Private Commercial Banks .” 2014. Thesis, Addis Ababa University. Accessed September 29, 2020. http://etd.aau.edu.et/dspace/handle/123456789/5351.

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

MLA Handbook (7th Edition):

Sori, Tefera. “Factors Affecting Banks Profitability: An Empirical Study on Ethiopian Private Commercial Banks .” 2014. Web. 29 Sep 2020.

Vancouver:

Sori T. Factors Affecting Banks Profitability: An Empirical Study on Ethiopian Private Commercial Banks . [Internet] [Thesis]. Addis Ababa University; 2014. [cited 2020 Sep 29]. Available from: http://etd.aau.edu.et/dspace/handle/123456789/5351.

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

Council of Science Editors:

Sori T. Factors Affecting Banks Profitability: An Empirical Study on Ethiopian Private Commercial Banks . [Thesis]. Addis Ababa University; 2014. Available from: http://etd.aau.edu.et/dspace/handle/123456789/5351

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


University of Nairobi

6. Onsakia, Davis M. A business model for encouraging citizens to open up their personal data for anonymous statistical use .

Degree: 2012, University of Nairobi

 Governments all over the world have a lot of data about their citizens. The citizens in turn have a lot of information about themselves which… (more)

Subjects/Keywords: business model; personal data; statistical use

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APA (6th Edition):

Onsakia, D. M. (2012). A business model for encouraging citizens to open up their personal data for anonymous statistical use . (Thesis). University of Nairobi. Retrieved from http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10259

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):

Onsakia, Davis M. “A business model for encouraging citizens to open up their personal data for anonymous statistical use .” 2012. Thesis, University of Nairobi. Accessed September 29, 2020. http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10259.

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

MLA Handbook (7th Edition):

Onsakia, Davis M. “A business model for encouraging citizens to open up their personal data for anonymous statistical use .” 2012. Web. 29 Sep 2020.

Vancouver:

Onsakia DM. A business model for encouraging citizens to open up their personal data for anonymous statistical use . [Internet] [Thesis]. University of Nairobi; 2012. [cited 2020 Sep 29]. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10259.

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

Council of Science Editors:

Onsakia DM. A business model for encouraging citizens to open up their personal data for anonymous statistical use . [Thesis]. University of Nairobi; 2012. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10259

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


The Ohio State University

7. KIM, NAMHEE. A semiparametric statistical approach to Functional MRI data.

Degree: PhD, Statistics, 2009, The Ohio State University

  Functional magnetic resonance imaging measures the Hemodynamic Response (HR), to help understand the relationship between activity in certain brain areas and specific cognitive functions.… (more)

Subjects/Keywords: Statistics; fMRI; A semiparametric statistical model

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APA (6th Edition):

KIM, N. (2009). A semiparametric statistical approach to Functional MRI data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1262295445

Chicago Manual of Style (16th Edition):

KIM, NAMHEE. “A semiparametric statistical approach to Functional MRI data.” 2009. Doctoral Dissertation, The Ohio State University. Accessed September 29, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1262295445.

MLA Handbook (7th Edition):

KIM, NAMHEE. “A semiparametric statistical approach to Functional MRI data.” 2009. Web. 29 Sep 2020.

Vancouver:

KIM N. A semiparametric statistical approach to Functional MRI data. [Internet] [Doctoral dissertation]. The Ohio State University; 2009. [cited 2020 Sep 29]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1262295445.

Council of Science Editors:

KIM N. A semiparametric statistical approach to Functional MRI data. [Doctoral Dissertation]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1262295445


Queensland University of Technology

8. Tai Yeung, Kam Lan (Daisy). Statistical model development to identify the best data pooling for early stage construction price forecasts.

Degree: 2009, Queensland University of Technology

 In the early feasibility study stage, the information concerning the target project is very limited. It is very common in practice for a Quantity Surveyor… (more)

Subjects/Keywords: contruction; price forecasts; statistical model development

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APA (6th Edition):

Tai Yeung, K. L. (. (2009). Statistical model development to identify the best data pooling for early stage construction price forecasts. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/20300/

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):

Tai Yeung, Kam Lan (Daisy). “Statistical model development to identify the best data pooling for early stage construction price forecasts.” 2009. Thesis, Queensland University of Technology. Accessed September 29, 2020. https://eprints.qut.edu.au/20300/.

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

MLA Handbook (7th Edition):

Tai Yeung, Kam Lan (Daisy). “Statistical model development to identify the best data pooling for early stage construction price forecasts.” 2009. Web. 29 Sep 2020.

Vancouver:

Tai Yeung KL(. Statistical model development to identify the best data pooling for early stage construction price forecasts. [Internet] [Thesis]. Queensland University of Technology; 2009. [cited 2020 Sep 29]. Available from: https://eprints.qut.edu.au/20300/.

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

Council of Science Editors:

Tai Yeung KL(. Statistical model development to identify the best data pooling for early stage construction price forecasts. [Thesis]. Queensland University of Technology; 2009. Available from: https://eprints.qut.edu.au/20300/

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


University of Cambridge

9. Casale, Francesco Paolo. Multivariate linear mixed models for statistical genetics.

Degree: PhD, 2016, University of Cambridge

 In the last decade, genome-wide association studies have helped to advance our understanding of the genetic architecture of many important traits, including diseases. However, the… (more)

Subjects/Keywords: linear mixed model; statistical genetics; GWAS; multivariate

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APA (6th Edition):

Casale, F. P. (2016). Multivariate linear mixed models for statistical genetics. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/267465

Chicago Manual of Style (16th Edition):

Casale, Francesco Paolo. “Multivariate linear mixed models for statistical genetics.” 2016. Doctoral Dissertation, University of Cambridge. Accessed September 29, 2020. https://www.repository.cam.ac.uk/handle/1810/267465.

MLA Handbook (7th Edition):

Casale, Francesco Paolo. “Multivariate linear mixed models for statistical genetics.” 2016. Web. 29 Sep 2020.

Vancouver:

Casale FP. Multivariate linear mixed models for statistical genetics. [Internet] [Doctoral dissertation]. University of Cambridge; 2016. [cited 2020 Sep 29]. Available from: https://www.repository.cam.ac.uk/handle/1810/267465.

Council of Science Editors:

Casale FP. Multivariate linear mixed models for statistical genetics. [Doctoral Dissertation]. University of Cambridge; 2016. Available from: https://www.repository.cam.ac.uk/handle/1810/267465


University of New South Wales

10. Liu, Xianghang. New Algorithms for Graphical Models and Their Applications in Learning.

Degree: Computer Science & Engineering, 2015, University of New South Wales

 Probabilistic graphical models bring together graph theory and probability theory in a powerful formalism for multivariate statistical modelling. Since many machine learning problems involve the… (more)

Subjects/Keywords: statistical inference; machine learning; graphical model

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APA (6th Edition):

Liu, X. (2015). New Algorithms for Graphical Models and Their Applications in Learning. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/55080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36494/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Liu, Xianghang. “New Algorithms for Graphical Models and Their Applications in Learning.” 2015. Doctoral Dissertation, University of New South Wales. Accessed September 29, 2020. http://handle.unsw.edu.au/1959.4/55080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36494/SOURCE02?view=true.

MLA Handbook (7th Edition):

Liu, Xianghang. “New Algorithms for Graphical Models and Their Applications in Learning.” 2015. Web. 29 Sep 2020.

Vancouver:

Liu X. New Algorithms for Graphical Models and Their Applications in Learning. [Internet] [Doctoral dissertation]. University of New South Wales; 2015. [cited 2020 Sep 29]. Available from: http://handle.unsw.edu.au/1959.4/55080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36494/SOURCE02?view=true.

Council of Science Editors:

Liu X. New Algorithms for Graphical Models and Their Applications in Learning. [Doctoral Dissertation]. University of New South Wales; 2015. Available from: http://handle.unsw.edu.au/1959.4/55080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36494/SOURCE02?view=true


Rutgers University

11. Li, Benjamin Yongbin, 1970-. Finite mixture models in survival data analysis.

Degree: PhD, Statistics and Biostatistics, 2019, Rutgers University

In the pharmaceutical industry, cost-effectiveness analysis is an important step in the development of new health interventions. It is a method for assessing the gains… (more)

Subjects/Keywords: Finite mixture model; Patients  – Mortality  – Statistical methods

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APA (6th Edition):

Li, Benjamin Yongbin, 1. (2019). Finite mixture models in survival data analysis. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/61793/

Chicago Manual of Style (16th Edition):

Li, Benjamin Yongbin, 1970-. “Finite mixture models in survival data analysis.” 2019. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/61793/.

MLA Handbook (7th Edition):

Li, Benjamin Yongbin, 1970-. “Finite mixture models in survival data analysis.” 2019. Web. 29 Sep 2020.

Vancouver:

Li, Benjamin Yongbin 1. Finite mixture models in survival data analysis. [Internet] [Doctoral dissertation]. Rutgers University; 2019. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/61793/.

Council of Science Editors:

Li, Benjamin Yongbin 1. Finite mixture models in survival data analysis. [Doctoral Dissertation]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/61793/


Delft University of Technology

12. Ragunathan, Srinidhi (author). Segmentation of Carpal Bones: Based on Statistical Shape Models using Spherical Harmonics.

Degree: 2019, Delft University of Technology

A study has been conducted on the application of Spherical Harmonics based Statistical Shape Modelling for Image Segmentation. This study is focused on the segmentation… (more)

Subjects/Keywords: Image Segmentation; Statistical Shape Model; Spherical harmonics

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APA (6th Edition):

Ragunathan, S. (. (2019). Segmentation of Carpal Bones: Based on Statistical Shape Models using Spherical Harmonics. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d31b9623-9db8-4224-a8c3-0e74d8848bf4

Chicago Manual of Style (16th Edition):

Ragunathan, Srinidhi (author). “Segmentation of Carpal Bones: Based on Statistical Shape Models using Spherical Harmonics.” 2019. Masters Thesis, Delft University of Technology. Accessed September 29, 2020. http://resolver.tudelft.nl/uuid:d31b9623-9db8-4224-a8c3-0e74d8848bf4.

MLA Handbook (7th Edition):

Ragunathan, Srinidhi (author). “Segmentation of Carpal Bones: Based on Statistical Shape Models using Spherical Harmonics.” 2019. Web. 29 Sep 2020.

Vancouver:

Ragunathan S(. Segmentation of Carpal Bones: Based on Statistical Shape Models using Spherical Harmonics. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Sep 29]. Available from: http://resolver.tudelft.nl/uuid:d31b9623-9db8-4224-a8c3-0e74d8848bf4.

Council of Science Editors:

Ragunathan S(. Segmentation of Carpal Bones: Based on Statistical Shape Models using Spherical Harmonics. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:d31b9623-9db8-4224-a8c3-0e74d8848bf4


Delft University of Technology

13. Li, H. (author). Automated Expansion of Statistical Shape Model Training Set for Femur.

Degree: 2015, Delft University of Technology

Active Shape Model (ASM) uses Statistical Shape Model (SSM) to fit the manually labeled landmark point in Magnetic Resonance Image (MRI) scan and segment the… (more)

Subjects/Keywords: Statistical Shape Model; Training Set Expansion

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APA (6th Edition):

Li, H. (. (2015). Automated Expansion of Statistical Shape Model Training Set for Femur. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:410aea7a-0397-40dd-b5ed-9f2a9a5f5974

Chicago Manual of Style (16th Edition):

Li, H (author). “Automated Expansion of Statistical Shape Model Training Set for Femur.” 2015. Masters Thesis, Delft University of Technology. Accessed September 29, 2020. http://resolver.tudelft.nl/uuid:410aea7a-0397-40dd-b5ed-9f2a9a5f5974.

MLA Handbook (7th Edition):

Li, H (author). “Automated Expansion of Statistical Shape Model Training Set for Femur.” 2015. Web. 29 Sep 2020.

Vancouver:

Li H(. Automated Expansion of Statistical Shape Model Training Set for Femur. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2020 Sep 29]. Available from: http://resolver.tudelft.nl/uuid:410aea7a-0397-40dd-b5ed-9f2a9a5f5974.

Council of Science Editors:

Li H(. Automated Expansion of Statistical Shape Model Training Set for Femur. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:410aea7a-0397-40dd-b5ed-9f2a9a5f5974


University of Southern California

14. Wang, Li. Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing.

Degree: PhD, Industrial and Systems Engineering, 2013, University of Southern California

 Nanomanufacturing is currently a major bottleneck that hinders the transformation of nanotechnology from laboratory to industrial applications. Due to both limited process understanding and control,… (more)

Subjects/Keywords: statistical modeling; nano; Bayesian hierarchical model

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APA (6th Edition):

Wang, L. (2013). Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347602/rec/4122

Chicago Manual of Style (16th Edition):

Wang, Li. “Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing.” 2013. Doctoral Dissertation, University of Southern California. Accessed September 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347602/rec/4122.

MLA Handbook (7th Edition):

Wang, Li. “Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing.” 2013. Web. 29 Sep 2020.

Vancouver:

Wang L. Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Sep 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347602/rec/4122.

Council of Science Editors:

Wang L. Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347602/rec/4122


Louisiana State University

15. Zhang, Ying. Performance and power comparisons between Fermi and Cypress GPUs.

Degree: MS, Electrical and Computer Engineering, 2013, Louisiana State University

 In recent years, modern graphics processing units have been widely adopted in high performance computing areas to solve large scale computation problems. The leading GPU… (more)

Subjects/Keywords: Fermi; Cypress; GPU; Nvidia; Comparison; Statistical model

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APA (6th Edition):

Zhang, Y. (2013). Performance and power comparisons between Fermi and Cypress GPUs. (Masters Thesis). Louisiana State University. Retrieved from etd-10072013-150336 ; https://digitalcommons.lsu.edu/gradschool_theses/110

Chicago Manual of Style (16th Edition):

Zhang, Ying. “Performance and power comparisons between Fermi and Cypress GPUs.” 2013. Masters Thesis, Louisiana State University. Accessed September 29, 2020. etd-10072013-150336 ; https://digitalcommons.lsu.edu/gradschool_theses/110.

MLA Handbook (7th Edition):

Zhang, Ying. “Performance and power comparisons between Fermi and Cypress GPUs.” 2013. Web. 29 Sep 2020.

Vancouver:

Zhang Y. Performance and power comparisons between Fermi and Cypress GPUs. [Internet] [Masters thesis]. Louisiana State University; 2013. [cited 2020 Sep 29]. Available from: etd-10072013-150336 ; https://digitalcommons.lsu.edu/gradschool_theses/110.

Council of Science Editors:

Zhang Y. Performance and power comparisons between Fermi and Cypress GPUs. [Masters Thesis]. Louisiana State University; 2013. Available from: etd-10072013-150336 ; https://digitalcommons.lsu.edu/gradschool_theses/110


Texas A&M University

16. Feng, Yang. Statistical and Realistic Numerical Model Investigations of Anthropogenic and Climatic Factors that Influence Hypoxic Area Variability in the Gulf of Mexico.

Degree: PhD, Oceanography, 2012, Texas A&M University

 The hypoxic area in the Gulf of Mexico is the second largest in the world, which has received extensive scientific study and management interest. Previous… (more)

Subjects/Keywords: Hypoxia; Gulf of Mexico; ROMS; Statistical Model; Numerical Model

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APA (6th Edition):

Feng, Y. (2012). Statistical and Realistic Numerical Model Investigations of Anthropogenic and Climatic Factors that Influence Hypoxic Area Variability in the Gulf of Mexico. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10756

Chicago Manual of Style (16th Edition):

Feng, Yang. “Statistical and Realistic Numerical Model Investigations of Anthropogenic and Climatic Factors that Influence Hypoxic Area Variability in the Gulf of Mexico.” 2012. Doctoral Dissertation, Texas A&M University. Accessed September 29, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10756.

MLA Handbook (7th Edition):

Feng, Yang. “Statistical and Realistic Numerical Model Investigations of Anthropogenic and Climatic Factors that Influence Hypoxic Area Variability in the Gulf of Mexico.” 2012. Web. 29 Sep 2020.

Vancouver:

Feng Y. Statistical and Realistic Numerical Model Investigations of Anthropogenic and Climatic Factors that Influence Hypoxic Area Variability in the Gulf of Mexico. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10756.

Council of Science Editors:

Feng Y. Statistical and Realistic Numerical Model Investigations of Anthropogenic and Climatic Factors that Influence Hypoxic Area Variability in the Gulf of Mexico. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10756


University of Texas – Austin

17. -4357-3653. Machine learning and statistical analysis in material property prediction.

Degree: MSin Engineering, Mechanical Engineering, 2019, University of Texas – Austin

 With the development of algorithms, models and data-driven efforts in other areas, machine learning is beginning to make impacts in materials science and engineering. In… (more)

Subjects/Keywords: Machine learning; Statistical analysis; Regression model; GBM model; Material property prediction

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APA (6th Edition):

-4357-3653. (2019). Machine learning and statistical analysis in material property prediction. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/685

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

Chicago Manual of Style (16th Edition):

-4357-3653. “Machine learning and statistical analysis in material property prediction.” 2019. Masters Thesis, University of Texas – Austin. Accessed September 29, 2020. http://dx.doi.org/10.26153/tsw/685.

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

MLA Handbook (7th Edition):

-4357-3653. “Machine learning and statistical analysis in material property prediction.” 2019. Web. 29 Sep 2020.

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

Vancouver:

-4357-3653. Machine learning and statistical analysis in material property prediction. [Internet] [Masters thesis]. University of Texas – Austin; 2019. [cited 2020 Sep 29]. Available from: http://dx.doi.org/10.26153/tsw/685.

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

Council of Science Editors:

-4357-3653. Machine learning and statistical analysis in material property prediction. [Masters Thesis]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/685

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


Michigan Technological University

18. Liu, Yun. The Bootstrap Estimation In Time Series.

Degree: MS, Department of Mathematical Sciences, 2015, Michigan Technological University

  Time series, a special case in dependent data sequence, is widely used in many fields. In time series, linear process models are quite popularly… (more)

Subjects/Keywords: Time Series; Block Bootstrap; AR-Sieve Bootstrap; AR model; MA model; ARMA model; Statistical Methodology

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APA (6th Edition):

Liu, Y. (2015). The Bootstrap Estimation In Time Series. (Masters Thesis). Michigan Technological University. Retrieved from http://digitalcommons.mtu.edu/etdr/40

Chicago Manual of Style (16th Edition):

Liu, Yun. “The Bootstrap Estimation In Time Series.” 2015. Masters Thesis, Michigan Technological University. Accessed September 29, 2020. http://digitalcommons.mtu.edu/etdr/40.

MLA Handbook (7th Edition):

Liu, Yun. “The Bootstrap Estimation In Time Series.” 2015. Web. 29 Sep 2020.

Vancouver:

Liu Y. The Bootstrap Estimation In Time Series. [Internet] [Masters thesis]. Michigan Technological University; 2015. [cited 2020 Sep 29]. Available from: http://digitalcommons.mtu.edu/etdr/40.

Council of Science Editors:

Liu Y. The Bootstrap Estimation In Time Series. [Masters Thesis]. Michigan Technological University; 2015. Available from: http://digitalcommons.mtu.edu/etdr/40


McMaster University

19. HUANG, WEILIANG. Residuals in the growth curve model with applications to the analysis of longitudinal data.

Degree: MSc, 2012, McMaster University

Statistical models often rely on several assumptions including distributional assumptions on outcome variables and relational assumptions where we model the relationship between outcomes and… (more)

Subjects/Keywords: Decomposition of linear spaces; growth curve model; residuals; decomposed residuals; Statistical Methodology; Statistical Methodology

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APA (6th Edition):

HUANG, W. (2012). Residuals in the growth curve model with applications to the analysis of longitudinal data. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/12680

Chicago Manual of Style (16th Edition):

HUANG, WEILIANG. “Residuals in the growth curve model with applications to the analysis of longitudinal data.” 2012. Masters Thesis, McMaster University. Accessed September 29, 2020. http://hdl.handle.net/11375/12680.

MLA Handbook (7th Edition):

HUANG, WEILIANG. “Residuals in the growth curve model with applications to the analysis of longitudinal data.” 2012. Web. 29 Sep 2020.

Vancouver:

HUANG W. Residuals in the growth curve model with applications to the analysis of longitudinal data. [Internet] [Masters thesis]. McMaster University; 2012. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/11375/12680.

Council of Science Editors:

HUANG W. Residuals in the growth curve model with applications to the analysis of longitudinal data. [Masters Thesis]. McMaster University; 2012. Available from: http://hdl.handle.net/11375/12680

20. Malek, Gregory F. Examination and Comparison of the Performance of Common Non-Parametric and Robust Regression Models.

Degree: MS- Statistics, Mathematics and Statistics, 2017, Stephen F. Austin State University

  ABSTRACT Examination and Comparison of the Performance of Common Non-Parametric and Robust Regression Models By Gregory Frank Malek Stephen F. Austin State University, Masters… (more)

Subjects/Keywords: regression; robust; nonparametric; linear; simple linear model; Applied Statistics; Statistical Models; Statistical Theory

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APA (6th Edition):

Malek, G. F. (2017). Examination and Comparison of the Performance of Common Non-Parametric and Robust Regression Models. (Masters Thesis). Stephen F. Austin State University. Retrieved from https://scholarworks.sfasu.edu/etds/120

Chicago Manual of Style (16th Edition):

Malek, Gregory F. “Examination and Comparison of the Performance of Common Non-Parametric and Robust Regression Models.” 2017. Masters Thesis, Stephen F. Austin State University. Accessed September 29, 2020. https://scholarworks.sfasu.edu/etds/120.

MLA Handbook (7th Edition):

Malek, Gregory F. “Examination and Comparison of the Performance of Common Non-Parametric and Robust Regression Models.” 2017. Web. 29 Sep 2020.

Vancouver:

Malek GF. Examination and Comparison of the Performance of Common Non-Parametric and Robust Regression Models. [Internet] [Masters thesis]. Stephen F. Austin State University; 2017. [cited 2020 Sep 29]. Available from: https://scholarworks.sfasu.edu/etds/120.

Council of Science Editors:

Malek GF. Examination and Comparison of the Performance of Common Non-Parametric and Robust Regression Models. [Masters Thesis]. Stephen F. Austin State University; 2017. Available from: https://scholarworks.sfasu.edu/etds/120


Virginia Commonwealth University

21. Rivers, Derick Lorenzo. Dynamic Bayesian Approaches to the Statistical Calibration Problem.

Degree: PhD, Systems Modeling and Analysis, 2014, Virginia Commonwealth University

  The problem of statistical calibration of a measuring instrument can be framed both in a statistical context as well as in an engineering context.… (more)

Subjects/Keywords: Statistical Calibration; Bayesian; Dynamic Linear Model; Inverse Regression; Applied Statistics; Multivariate Analysis; Statistical Models

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APA (6th Edition):

Rivers, D. L. (2014). Dynamic Bayesian Approaches to the Statistical Calibration Problem. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://doi.org/10.25772/3RMA-EJ74 ; https://scholarscompass.vcu.edu/etd/3599

Chicago Manual of Style (16th Edition):

Rivers, Derick Lorenzo. “Dynamic Bayesian Approaches to the Statistical Calibration Problem.” 2014. Doctoral Dissertation, Virginia Commonwealth University. Accessed September 29, 2020. https://doi.org/10.25772/3RMA-EJ74 ; https://scholarscompass.vcu.edu/etd/3599.

MLA Handbook (7th Edition):

Rivers, Derick Lorenzo. “Dynamic Bayesian Approaches to the Statistical Calibration Problem.” 2014. Web. 29 Sep 2020.

Vancouver:

Rivers DL. Dynamic Bayesian Approaches to the Statistical Calibration Problem. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2014. [cited 2020 Sep 29]. Available from: https://doi.org/10.25772/3RMA-EJ74 ; https://scholarscompass.vcu.edu/etd/3599.

Council of Science Editors:

Rivers DL. Dynamic Bayesian Approaches to the Statistical Calibration Problem. [Doctoral Dissertation]. Virginia Commonwealth University; 2014. Available from: https://doi.org/10.25772/3RMA-EJ74 ; https://scholarscompass.vcu.edu/etd/3599


University of Washington

22. LaMont, Colin. The search for an organizing physical framework for statistics.

Degree: PhD, 2018, University of Washington

 Theories of statistical analysis remain in conflict and contradiction. But nature reveals an elegant and coherent formulation of statistics in the thermal properties of physical… (more)

Subjects/Keywords: Bayesian; Frequentist; Information Criteria; Model Selection; Statistical Mechanics; Thermodynamics; Statistical physics; Statistics; Physics

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APA (6th Edition):

LaMont, C. (2018). The search for an organizing physical framework for statistics. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/42512

Chicago Manual of Style (16th Edition):

LaMont, Colin. “The search for an organizing physical framework for statistics.” 2018. Doctoral Dissertation, University of Washington. Accessed September 29, 2020. http://hdl.handle.net/1773/42512.

MLA Handbook (7th Edition):

LaMont, Colin. “The search for an organizing physical framework for statistics.” 2018. Web. 29 Sep 2020.

Vancouver:

LaMont C. The search for an organizing physical framework for statistics. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/1773/42512.

Council of Science Editors:

LaMont C. The search for an organizing physical framework for statistics. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/42512


University of Kentucky

23. Roemmele, Eric S. A Flexible Zero-Inflated Poisson Regression Model.

Degree: 2019, University of Kentucky

 A practical problem often encountered with observed count data is the presence of excess zeros. Zero-inflation in count data can easily be handled by zero-inflated… (more)

Subjects/Keywords: Bootstrap; Count data; EM Algorithm; zero-inflation; semiparametric model; Statistical Models; Statistical Theory

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APA (6th Edition):

Roemmele, E. S. (2019). A Flexible Zero-Inflated Poisson Regression Model. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/statistics_etds/38

Chicago Manual of Style (16th Edition):

Roemmele, Eric S. “A Flexible Zero-Inflated Poisson Regression Model.” 2019. Doctoral Dissertation, University of Kentucky. Accessed September 29, 2020. https://uknowledge.uky.edu/statistics_etds/38.

MLA Handbook (7th Edition):

Roemmele, Eric S. “A Flexible Zero-Inflated Poisson Regression Model.” 2019. Web. 29 Sep 2020.

Vancouver:

Roemmele ES. A Flexible Zero-Inflated Poisson Regression Model. [Internet] [Doctoral dissertation]. University of Kentucky; 2019. [cited 2020 Sep 29]. Available from: https://uknowledge.uky.edu/statistics_etds/38.

Council of Science Editors:

Roemmele ES. A Flexible Zero-Inflated Poisson Regression Model. [Doctoral Dissertation]. University of Kentucky; 2019. Available from: https://uknowledge.uky.edu/statistics_etds/38

24. Jeremić Veljko. Statistical efficiency model based on the Ivanovic distance.

Degree: PhD, Organizational Sciences, 2012, University of Belgrade

 In section Introduction we define area of research and our main goals, we point out crucial hypothesis and method of research, we provide contents and… (more)

Subjects/Keywords: efficiency; statistical efficiency model; multivariate statistical analysis; Ivanovic distance; efikasnot; statistički model efikasnosti; multivarijaciona statistička analiza; Ivanovićevo odstojanje

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APA (6th Edition):

Veljko, J. (2012). Statistical efficiency model based on the Ivanovic distance. (Doctoral Dissertation). University of Belgrade. Retrieved from http://dx.doi.org/10.2298/BG20121001JEREMIC ; http://eteze.bg.ac.rs/application/showtheses?thesesId=284 ; https://fedorabg.bg.ac.rs/fedora/get/o:5639/bdef:Content/get ; http://vbs.rs/scripts/cobiss?command=SEARCH&base=99999&select=ID=515210394

Chicago Manual of Style (16th Edition):

Veljko, Jeremić. “Statistical efficiency model based on the Ivanovic distance.” 2012. Doctoral Dissertation, University of Belgrade. Accessed September 29, 2020. http://dx.doi.org/10.2298/BG20121001JEREMIC ; http://eteze.bg.ac.rs/application/showtheses?thesesId=284 ; https://fedorabg.bg.ac.rs/fedora/get/o:5639/bdef:Content/get ; http://vbs.rs/scripts/cobiss?command=SEARCH&base=99999&select=ID=515210394.

MLA Handbook (7th Edition):

Veljko, Jeremić. “Statistical efficiency model based on the Ivanovic distance.” 2012. Web. 29 Sep 2020.

Vancouver:

Veljko J. Statistical efficiency model based on the Ivanovic distance. [Internet] [Doctoral dissertation]. University of Belgrade; 2012. [cited 2020 Sep 29]. Available from: http://dx.doi.org/10.2298/BG20121001JEREMIC ; http://eteze.bg.ac.rs/application/showtheses?thesesId=284 ; https://fedorabg.bg.ac.rs/fedora/get/o:5639/bdef:Content/get ; http://vbs.rs/scripts/cobiss?command=SEARCH&base=99999&select=ID=515210394.

Council of Science Editors:

Veljko J. Statistical efficiency model based on the Ivanovic distance. [Doctoral Dissertation]. University of Belgrade; 2012. Available from: http://dx.doi.org/10.2298/BG20121001JEREMIC ; http://eteze.bg.ac.rs/application/showtheses?thesesId=284 ; https://fedorabg.bg.ac.rs/fedora/get/o:5639/bdef:Content/get ; http://vbs.rs/scripts/cobiss?command=SEARCH&base=99999&select=ID=515210394


University of Maryland

25. Jung, Byungchang. A HIERARCHICAL FRAMEWORK FOR STATISTICAL MODEL VALIDATION OF ENGINEERED SYSTEMS.

Degree: Mechanical Engineering, 2011, University of Maryland

 As the role of computational models has increased, the accuracy of computational results has been of great concern to engineering decision-makers. To address a growing… (more)

Subjects/Keywords: Mechanical engineering; Cellular Phone System; Statistical Model Calibration; Statistical Model Validation; Validity Check; Vibration-based Energy Harvester

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APA (6th Edition):

Jung, B. (2011). A HIERARCHICAL FRAMEWORK FOR STATISTICAL MODEL VALIDATION OF ENGINEERED SYSTEMS. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/11881

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):

Jung, Byungchang. “A HIERARCHICAL FRAMEWORK FOR STATISTICAL MODEL VALIDATION OF ENGINEERED SYSTEMS.” 2011. Thesis, University of Maryland. Accessed September 29, 2020. http://hdl.handle.net/1903/11881.

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

MLA Handbook (7th Edition):

Jung, Byungchang. “A HIERARCHICAL FRAMEWORK FOR STATISTICAL MODEL VALIDATION OF ENGINEERED SYSTEMS.” 2011. Web. 29 Sep 2020.

Vancouver:

Jung B. A HIERARCHICAL FRAMEWORK FOR STATISTICAL MODEL VALIDATION OF ENGINEERED SYSTEMS. [Internet] [Thesis]. University of Maryland; 2011. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/1903/11881.

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

Council of Science Editors:

Jung B. A HIERARCHICAL FRAMEWORK FOR STATISTICAL MODEL VALIDATION OF ENGINEERED SYSTEMS. [Thesis]. University of Maryland; 2011. Available from: http://hdl.handle.net/1903/11881

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

26. Ošlaj, Matjaž. Razvoj modela sestave različnih rastlinskih substratov za proizvodnjo bioplina.

Degree: 2017, Univerza v Mariboru

Najpomembnejši ukrep za zmanjševanje emisij toplogrednih plinov in energetske učinkovitosti je povečanje deleža rabe obnovljivih virov energije. Slovenija mora, tako kot ostale države EU, na… (more)

Subjects/Keywords: anaerobna fermentacija; bioplin; substrat; sestava substrata; model; statistični model; anaerobic fermentation; biogas; substrate; composition of the substrate; model; statistical model

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APA (6th Edition):

Ošlaj, M. (2017). Razvoj modela sestave različnih rastlinskih substratov za proizvodnjo bioplina. (Doctoral Dissertation). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=64840 ; https://dk.um.si/Dokument.php?id=108797&dn=

Chicago Manual of Style (16th Edition):

Ošlaj, Matjaž. “Razvoj modela sestave različnih rastlinskih substratov za proizvodnjo bioplina.” 2017. Doctoral Dissertation, Univerza v Mariboru. Accessed September 29, 2020. https://dk.um.si/IzpisGradiva.php?id=64840 ; https://dk.um.si/Dokument.php?id=108797&dn=.

MLA Handbook (7th Edition):

Ošlaj, Matjaž. “Razvoj modela sestave različnih rastlinskih substratov za proizvodnjo bioplina.” 2017. Web. 29 Sep 2020.

Vancouver:

Ošlaj M. Razvoj modela sestave različnih rastlinskih substratov za proizvodnjo bioplina. [Internet] [Doctoral dissertation]. Univerza v Mariboru; 2017. [cited 2020 Sep 29]. Available from: https://dk.um.si/IzpisGradiva.php?id=64840 ; https://dk.um.si/Dokument.php?id=108797&dn=.

Council of Science Editors:

Ošlaj M. Razvoj modela sestave različnih rastlinskih substratov za proizvodnjo bioplina. [Doctoral Dissertation]. Univerza v Mariboru; 2017. Available from: https://dk.um.si/IzpisGradiva.php?id=64840 ; https://dk.um.si/Dokument.php?id=108797&dn=


Brno University of Technology

27. Bartošík, Tomáš. Metody simulace dodávky výkonu z větrných elektráren: Simulation of power supply from wind power stations.

Degree: 2018, Brno University of Technology

 Theme Master’s thesis was studying of wind energy power supply. Comparison of character of wind power supply in Czech Republic to power supply abroad. Thesis… (more)

Subjects/Keywords: větrné elektrárny; předpovědní modely; předpovědní systémy; statistický model; regresivní model; wind powerplants; forecast models; forecast systems; statistical model; regressive model

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APA (6th Edition):

Bartošík, T. (2018). Metody simulace dodávky výkonu z větrných elektráren: Simulation of power supply from wind power stations. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/17813

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):

Bartošík, Tomáš. “Metody simulace dodávky výkonu z větrných elektráren: Simulation of power supply from wind power stations.” 2018. Thesis, Brno University of Technology. Accessed September 29, 2020. http://hdl.handle.net/11012/17813.

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

MLA Handbook (7th Edition):

Bartošík, Tomáš. “Metody simulace dodávky výkonu z větrných elektráren: Simulation of power supply from wind power stations.” 2018. Web. 29 Sep 2020.

Vancouver:

Bartošík T. Metody simulace dodávky výkonu z větrných elektráren: Simulation of power supply from wind power stations. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/11012/17813.

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

Council of Science Editors:

Bartošík T. Metody simulace dodávky výkonu z větrných elektráren: Simulation of power supply from wind power stations. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/17813

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


Brno University of Technology

28. Šolc, Radek. Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods.

Degree: 2019, Brno University of Technology

 This diploma thesis deals with segmentation of blood vessel from images acquired by fundus camera. The characteristic of fundus images and current methods of segmentation… (more)

Subjects/Keywords: segmentace; fundus; EM; statistický model; GMM; SMM; FMM; mixture model; segmentation; fundus; EM; statistical model; GMM; SMM; FMM; mixture model

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APA (6th Edition):

Šolc, R. (2019). Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/38886

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):

Šolc, Radek. “Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods.” 2019. Thesis, Brno University of Technology. Accessed September 29, 2020. http://hdl.handle.net/11012/38886.

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

MLA Handbook (7th Edition):

Šolc, Radek. “Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods.” 2019. Web. 29 Sep 2020.

Vancouver:

Šolc R. Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/11012/38886.

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

Council of Science Editors:

Šolc R. Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/38886

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


Penn State University

29. Lee, Kevin Haeseung. Statistical Learning of Complex Large-Scale Dynamic Systems.

Degree: 2017, Penn State University

 Due to advances in data collection technologies, large-scale network/graph analysis has been increasingly important in various research fields such as artificial intelligence, business, finance, genomics,… (more)

Subjects/Keywords: Statistical learning; Model-based clustering; Dynamic networks; Graphical model; EM algorithm; Variational inference

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APA (6th Edition):

Lee, K. H. (2017). Statistical Learning of Complex Large-Scale Dynamic Systems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14151khl119

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):

Lee, Kevin Haeseung. “Statistical Learning of Complex Large-Scale Dynamic Systems.” 2017. Thesis, Penn State University. Accessed September 29, 2020. https://submit-etda.libraries.psu.edu/catalog/14151khl119.

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

MLA Handbook (7th Edition):

Lee, Kevin Haeseung. “Statistical Learning of Complex Large-Scale Dynamic Systems.” 2017. Web. 29 Sep 2020.

Vancouver:

Lee KH. Statistical Learning of Complex Large-Scale Dynamic Systems. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Sep 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/14151khl119.

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

Council of Science Editors:

Lee KH. Statistical Learning of Complex Large-Scale Dynamic Systems. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14151khl119

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


Princeton University

30. wu, anqi. Bayesian latent structure discovery for large-scale neural recordings .

Degree: PhD, 2019, Princeton University

 Many studies in neuroscience posit that large-scale neural activity reflects noisy high-dimensional observations of some underlying, low-dimensional signals of interest. One approach to the problem… (more)

Subjects/Keywords: Bayesian probabilistic modeling; brain analysis; Gaussian process; latent variable model; neural recording; statistical model

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

APA (6th Edition):

wu, a. (2019). Bayesian latent structure discovery for large-scale neural recordings . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01pz50h0025

Chicago Manual of Style (16th Edition):

wu, anqi. “Bayesian latent structure discovery for large-scale neural recordings .” 2019. Doctoral Dissertation, Princeton University. Accessed September 29, 2020. http://arks.princeton.edu/ark:/88435/dsp01pz50h0025.

MLA Handbook (7th Edition):

wu, anqi. “Bayesian latent structure discovery for large-scale neural recordings .” 2019. Web. 29 Sep 2020.

Vancouver:

wu a. Bayesian latent structure discovery for large-scale neural recordings . [Internet] [Doctoral dissertation]. Princeton University; 2019. [cited 2020 Sep 29]. Available from: http://arks.princeton.edu/ark:/88435/dsp01pz50h0025.

Council of Science Editors:

wu a. Bayesian latent structure discovery for large-scale neural recordings . [Doctoral Dissertation]. Princeton University; 2019. Available from: http://arks.princeton.edu/ark:/88435/dsp01pz50h0025

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