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You searched for +publisher:"Georgia State University" +contributor:("Dr. Xin Qi"). Showing records 1 – 8 of 8 total matches.

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Georgia State University

1. Wang, Jing. Functional Principal Component Analysis for Discretely Observed Functional Data and Sparse Fisher’s Discriminant Analysis with Thresholded Linear Constraints.

Degree: PhD, Mathematics and Statistics, 2016, Georgia State University

  We propose a new method to perform functional principal component analysis (FPCA) for discretely observed functional data by solving successive optimization problems. The new… (more)

Subjects/Keywords: Functional PCA; discretely observed functional data; successive optimization problems; roughness penalty; consistency; sparse Fisher’s discriminant analysis; thresholded linear constraints; asymptotic consistency; asymptotic optimality; convergence rate

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

APA (6th Edition):

Wang, J. (2016). Functional Principal Component Analysis for Discretely Observed Functional Data and Sparse Fisher’s Discriminant Analysis with Thresholded Linear Constraints. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_diss/35

Chicago Manual of Style (16th Edition):

Wang, Jing. “Functional Principal Component Analysis for Discretely Observed Functional Data and Sparse Fisher’s Discriminant Analysis with Thresholded Linear Constraints.” 2016. Doctoral Dissertation, Georgia State University. Accessed February 17, 2019. https://scholarworks.gsu.edu/math_diss/35.

MLA Handbook (7th Edition):

Wang, Jing. “Functional Principal Component Analysis for Discretely Observed Functional Data and Sparse Fisher’s Discriminant Analysis with Thresholded Linear Constraints.” 2016. Web. 17 Feb 2019.

Vancouver:

Wang J. Functional Principal Component Analysis for Discretely Observed Functional Data and Sparse Fisher’s Discriminant Analysis with Thresholded Linear Constraints. [Internet] [Doctoral dissertation]. Georgia State University; 2016. [cited 2019 Feb 17]. Available from: https://scholarworks.gsu.edu/math_diss/35.

Council of Science Editors:

Wang J. Functional Principal Component Analysis for Discretely Observed Functional Data and Sparse Fisher’s Discriminant Analysis with Thresholded Linear Constraints. [Doctoral Dissertation]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/math_diss/35


Georgia State University

2. Liu, Bing. Influence Function-based Empirical Likelihood Inferences for Lorenz Curve.

Degree: MS, Mathematics and Statistics, 2014, Georgia State University

  In this thesis, an empirical likelihood method based on influence function is developed and used to construct confidence intervals for the Lorenz ordinates. This… (more)

Subjects/Keywords: Empirical likelihood; Influence function; Income distribution; Lorenz curve; Chi-square distribution

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

APA (6th Edition):

Liu, B. (2014). Influence Function-based Empirical Likelihood Inferences for Lorenz Curve. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/136

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):

Liu, Bing. “Influence Function-based Empirical Likelihood Inferences for Lorenz Curve.” 2014. Thesis, Georgia State University. Accessed February 17, 2019. https://scholarworks.gsu.edu/math_theses/136.

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

MLA Handbook (7th Edition):

Liu, Bing. “Influence Function-based Empirical Likelihood Inferences for Lorenz Curve.” 2014. Web. 17 Feb 2019.

Vancouver:

Liu B. Influence Function-based Empirical Likelihood Inferences for Lorenz Curve. [Internet] [Thesis]. Georgia State University; 2014. [cited 2019 Feb 17]. Available from: https://scholarworks.gsu.edu/math_theses/136.

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

Council of Science Editors:

Liu B. Influence Function-based Empirical Likelihood Inferences for Lorenz Curve. [Thesis]. Georgia State University; 2014. Available from: https://scholarworks.gsu.edu/math_theses/136

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


Georgia State University

3. Hales, Craig. Trends in Herpes Zoster Incidence from 1940 to 2008 Using a Cross-sectional Survey.

Degree: MS, Mathematics and Statistics, 2015, Georgia State University

  Previous healthcare-based studies have reported increasing herpes zoster (HZ) incidence over time; however, this could be an artifact of increased healthcare utilization. This study… (more)

Subjects/Keywords: Herpes zoster; Health and Retirement Study; B-splines; Incidence; Trends

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APA (6th Edition):

Hales, C. (2015). Trends in Herpes Zoster Incidence from 1940 to 2008 Using a Cross-sectional Survey. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/149

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):

Hales, Craig. “Trends in Herpes Zoster Incidence from 1940 to 2008 Using a Cross-sectional Survey.” 2015. Thesis, Georgia State University. Accessed February 17, 2019. https://scholarworks.gsu.edu/math_theses/149.

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

MLA Handbook (7th Edition):

Hales, Craig. “Trends in Herpes Zoster Incidence from 1940 to 2008 Using a Cross-sectional Survey.” 2015. Web. 17 Feb 2019.

Vancouver:

Hales C. Trends in Herpes Zoster Incidence from 1940 to 2008 Using a Cross-sectional Survey. [Internet] [Thesis]. Georgia State University; 2015. [cited 2019 Feb 17]. Available from: https://scholarworks.gsu.edu/math_theses/149.

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

Council of Science Editors:

Hales C. Trends in Herpes Zoster Incidence from 1940 to 2008 Using a Cross-sectional Survey. [Thesis]. Georgia State University; 2015. Available from: https://scholarworks.gsu.edu/math_theses/149

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


Georgia State University

4. Yan, Mingyuan. Data Aggregation Scheduling in Wireless Networks.

Degree: PhD, Computer Science, 2015, Georgia State University

  Data aggregation is one of the most essential data gathering operations in wireless networks. It is an efficient strategy to alleviate energy consumption and… (more)

Subjects/Keywords: Data aggregation; Scheduling; Connected dominate set; Delay analysis; Wireless sensor network; Cognitive radio network; Probabilistic wireless networks

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

APA (6th Edition):

Yan, M. (2015). Data Aggregation Scheduling in Wireless Networks. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/100

Chicago Manual of Style (16th Edition):

Yan, Mingyuan. “Data Aggregation Scheduling in Wireless Networks.” 2015. Doctoral Dissertation, Georgia State University. Accessed February 17, 2019. https://scholarworks.gsu.edu/cs_diss/100.

MLA Handbook (7th Edition):

Yan, Mingyuan. “Data Aggregation Scheduling in Wireless Networks.” 2015. Web. 17 Feb 2019.

Vancouver:

Yan M. Data Aggregation Scheduling in Wireless Networks. [Internet] [Doctoral dissertation]. Georgia State University; 2015. [cited 2019 Feb 17]. Available from: https://scholarworks.gsu.edu/cs_diss/100.

Council of Science Editors:

Yan M. Data Aggregation Scheduling in Wireless Networks. [Doctoral Dissertation]. Georgia State University; 2015. Available from: https://scholarworks.gsu.edu/cs_diss/100


Georgia State University

5. Keller, Nicholas Aiden. Towards Data-driven Simulation Modeling for Mobile Agent-based Systems.

Degree: PhD, Computer Science, 2017, Georgia State University

  Simulation modeling provides insight into how dynamic systems work. Current simulation modeling approaches are primarily knowledge-driven, which involves a process of converting expert knowledge… (more)

Subjects/Keywords: Swarm; System Entity Structure (SES); Flock; Crowd; Methodology

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APA (6th Edition):

Keller, N. A. (2017). Towards Data-driven Simulation Modeling for Mobile Agent-based Systems. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/130

Chicago Manual of Style (16th Edition):

Keller, Nicholas Aiden. “Towards Data-driven Simulation Modeling for Mobile Agent-based Systems.” 2017. Doctoral Dissertation, Georgia State University. Accessed February 17, 2019. https://scholarworks.gsu.edu/cs_diss/130.

MLA Handbook (7th Edition):

Keller, Nicholas Aiden. “Towards Data-driven Simulation Modeling for Mobile Agent-based Systems.” 2017. Web. 17 Feb 2019.

Vancouver:

Keller NA. Towards Data-driven Simulation Modeling for Mobile Agent-based Systems. [Internet] [Doctoral dissertation]. Georgia State University; 2017. [cited 2019 Feb 17]. Available from: https://scholarworks.gsu.edu/cs_diss/130.

Council of Science Editors:

Keller NA. Towards Data-driven Simulation Modeling for Mobile Agent-based Systems. [Doctoral Dissertation]. Georgia State University; 2017. Available from: https://scholarworks.gsu.edu/cs_diss/130

6. Salah, Zainab. Predicting Alzheimer Disease Status Using High-Dimensional MRI Data Based on LASSO Constrained Generalized Linear Models.

Degree: MPH, Public Health, 2017, Georgia State University

  Introduction: Alzheimer’s disease is an irreversible brain disorder characterized by distortion of memory and other mental functions. Although, several psychometric tests are available for… (more)

Subjects/Keywords: LASSO; generalized linear model; Alzheimer’s; ADNI

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APA (6th Edition):

Salah, Z. (2017). Predicting Alzheimer Disease Status Using High-Dimensional MRI Data Based on LASSO Constrained Generalized Linear Models. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/iph_theses/551

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):

Salah, Zainab. “Predicting Alzheimer Disease Status Using High-Dimensional MRI Data Based on LASSO Constrained Generalized Linear Models.” 2017. Thesis, Georgia State University. Accessed February 17, 2019. https://scholarworks.gsu.edu/iph_theses/551.

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

MLA Handbook (7th Edition):

Salah, Zainab. “Predicting Alzheimer Disease Status Using High-Dimensional MRI Data Based on LASSO Constrained Generalized Linear Models.” 2017. Web. 17 Feb 2019.

Vancouver:

Salah Z. Predicting Alzheimer Disease Status Using High-Dimensional MRI Data Based on LASSO Constrained Generalized Linear Models. [Internet] [Thesis]. Georgia State University; 2017. [cited 2019 Feb 17]. Available from: https://scholarworks.gsu.edu/iph_theses/551.

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

Council of Science Editors:

Salah Z. Predicting Alzheimer Disease Status Using High-Dimensional MRI Data Based on LASSO Constrained Generalized Linear Models. [Thesis]. Georgia State University; 2017. Available from: https://scholarworks.gsu.edu/iph_theses/551

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

7. Fredua, Benjamin. Multinomial Logistic Regression Analysis Of Varicella Vaccination - 2011 National Immunization Survey (NIS) – Teen Survey Data.

Degree: MS, Mathematics and Statistics, 2015, Georgia State University

  The varicella-zoster virus (VZV) causes chickenpox or varicella, a disease primarily in children, and Herpes Zoster (HZ) or zoster or shingles, a disease that… (more)

Subjects/Keywords: Varicella; Multinomial Logistic Regression; Odds Ratio

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

APA (6th Edition):

Fredua, B. (2015). Multinomial Logistic Regression Analysis Of Varicella Vaccination - 2011 National Immunization Survey (NIS) – Teen Survey Data. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/147

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):

Fredua, Benjamin. “Multinomial Logistic Regression Analysis Of Varicella Vaccination - 2011 National Immunization Survey (NIS) – Teen Survey Data.” 2015. Thesis, Georgia State University. Accessed February 17, 2019. https://scholarworks.gsu.edu/math_theses/147.

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

MLA Handbook (7th Edition):

Fredua, Benjamin. “Multinomial Logistic Regression Analysis Of Varicella Vaccination - 2011 National Immunization Survey (NIS) – Teen Survey Data.” 2015. Web. 17 Feb 2019.

Vancouver:

Fredua B. Multinomial Logistic Regression Analysis Of Varicella Vaccination - 2011 National Immunization Survey (NIS) – Teen Survey Data. [Internet] [Thesis]. Georgia State University; 2015. [cited 2019 Feb 17]. Available from: https://scholarworks.gsu.edu/math_theses/147.

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

Council of Science Editors:

Fredua B. Multinomial Logistic Regression Analysis Of Varicella Vaccination - 2011 National Immunization Survey (NIS) – Teen Survey Data. [Thesis]. Georgia State University; 2015. Available from: https://scholarworks.gsu.edu/math_theses/147

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

8. Folarinde, Micheal Shola. A Comparative Study Between Genotypes and Ages of Eyes Using Morphometric Measures of Retinal Pigment Epithelial Cells.

Degree: MS, Mathematics and Statistics, 2012, Georgia State University

  Aged-related macular degeneration (AMD) is a common eye condition among people older than 65 years and is a leading cause of vision loss. It… (more)

Subjects/Keywords: Retina pigment epithelium; C57BL/6L; RD10; Morphometric

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

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

APA (6th Edition):

Folarinde, M. S. (2012). A Comparative Study Between Genotypes and Ages of Eyes Using Morphometric Measures of Retinal Pigment Epithelial Cells. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/117

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):

Folarinde, Micheal Shola. “A Comparative Study Between Genotypes and Ages of Eyes Using Morphometric Measures of Retinal Pigment Epithelial Cells.” 2012. Thesis, Georgia State University. Accessed February 17, 2019. https://scholarworks.gsu.edu/math_theses/117.

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

MLA Handbook (7th Edition):

Folarinde, Micheal Shola. “A Comparative Study Between Genotypes and Ages of Eyes Using Morphometric Measures of Retinal Pigment Epithelial Cells.” 2012. Web. 17 Feb 2019.

Vancouver:

Folarinde MS. A Comparative Study Between Genotypes and Ages of Eyes Using Morphometric Measures of Retinal Pigment Epithelial Cells. [Internet] [Thesis]. Georgia State University; 2012. [cited 2019 Feb 17]. Available from: https://scholarworks.gsu.edu/math_theses/117.

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

Council of Science Editors:

Folarinde MS. A Comparative Study Between Genotypes and Ages of Eyes Using Morphometric Measures of Retinal Pigment Epithelial Cells. [Thesis]. Georgia State University; 2012. Available from: https://scholarworks.gsu.edu/math_theses/117

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

.