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You searched for +publisher:"Georgia State University" +contributor:("Yichuan Zhao"). Showing records 1 – 30 of 74 total matches.

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Georgia State University

1. An, Yueheng. Empirical Likelihood Confidence Intervals for ROC Curves with Missing Data.

Degree: MS, Mathematics and Statistics, 2011, Georgia State University

  The receiver operating characteristic, or the ROC curve, is widely utilized to evaluate the diagnostic performance of a test, in other words, the accuracy… (more)

Subjects/Keywords: Confidence interval; Smoothed empirical likelihood; Right censored data; ROC curves

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APA (6th Edition):

An, Y. (2011). Empirical Likelihood Confidence Intervals for ROC Curves with Missing Data. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/95

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):

An, Yueheng. “Empirical Likelihood Confidence Intervals for ROC Curves with Missing Data.” 2011. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/95.

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

MLA Handbook (7th Edition):

An, Yueheng. “Empirical Likelihood Confidence Intervals for ROC Curves with Missing Data.” 2011. Web. 18 Aug 2019.

Vancouver:

An Y. Empirical Likelihood Confidence Intervals for ROC Curves with Missing Data. [Internet] [Thesis]. Georgia State University; 2011. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/95.

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

Council of Science Editors:

An Y. Empirical Likelihood Confidence Intervals for ROC Curves with Missing Data. [Thesis]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/math_theses/95

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


Georgia State University

2. Zhang, Yan. Jackknife Empirical Likelihood Inferences for the Skewness and Kurtosis.

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

  Skewness and kurtosis are measures used to describe shape characteristics of distributions. In this thesis, we examine the interval estimates about the skewness and… (more)

Subjects/Keywords: Skewness; Kurtosis; Empirical likelihood; Jackknife empirical likelihood; Adjusted jackknife empirical likelihood; Extended jackknife empirical likelihood; Bootstrap; Bootstrap percentile; Bootstrap BCa; Coverage probability; Interval length

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APA (6th Edition):

Zhang, Y. (2014). Jackknife Empirical Likelihood Inferences for the Skewness and Kurtosis. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/135

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):

Zhang, Yan. “Jackknife Empirical Likelihood Inferences for the Skewness and Kurtosis.” 2014. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/135.

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

MLA Handbook (7th Edition):

Zhang, Yan. “Jackknife Empirical Likelihood Inferences for the Skewness and Kurtosis.” 2014. Web. 18 Aug 2019.

Vancouver:

Zhang Y. Jackknife Empirical Likelihood Inferences for the Skewness and Kurtosis. [Internet] [Thesis]. Georgia State University; 2014. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/135.

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

Council of Science Editors:

Zhang Y. Jackknife Empirical Likelihood Inferences for the Skewness and Kurtosis. [Thesis]. Georgia State University; 2014. Available from: https://scholarworks.gsu.edu/math_theses/135

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


Georgia State University

3. Su, Yueju. Jackknife Empirical Likelihood Inference For The Pietra Ratio.

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

  Pietra ratio (Pietra index), also known as Robin Hood index, Schutz coefficient (Ricci-Schutz index) or half the relative mean deviation, is a good measure… (more)

Subjects/Keywords: Bootstrap method; Coverage probability; Jackknife empirical likelihood; Adjusted jackknife empirical likelihood; Extended jackknife empirical likelihood

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APA (6th Edition):

Su, Y. (2014). Jackknife Empirical Likelihood Inference For The Pietra Ratio. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/140

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):

Su, Yueju. “Jackknife Empirical Likelihood Inference For The Pietra Ratio.” 2014. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/140.

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

MLA Handbook (7th Edition):

Su, Yueju. “Jackknife Empirical Likelihood Inference For The Pietra Ratio.” 2014. Web. 18 Aug 2019.

Vancouver:

Su Y. Jackknife Empirical Likelihood Inference For The Pietra Ratio. [Internet] [Thesis]. Georgia State University; 2014. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/140.

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

Council of Science Editors:

Su Y. Jackknife Empirical Likelihood Inference For The Pietra Ratio. [Thesis]. Georgia State University; 2014. Available from: https://scholarworks.gsu.edu/math_theses/140

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


Georgia State University

4. Wang, Xiaoyuan. Data Mining Analysis of the Parkinson's Disease.

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

  Biological research is becoming increasingly database driven and statistical learning can be used to discover patterns in the biological data. In the thesis, the… (more)

Subjects/Keywords: Supervised Learning; Cross Validation; Prediction Analysis; Classification; Model Selection; ROC Curve

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APA (6th Edition):

Wang, X. (2014). Data Mining Analysis of the Parkinson's Disease. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/143

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

Chicago Manual of Style (16th Edition):

Wang, Xiaoyuan. “Data Mining Analysis of the Parkinson's Disease.” 2014. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/143.

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

MLA Handbook (7th Edition):

Wang, Xiaoyuan. “Data Mining Analysis of the Parkinson's Disease.” 2014. Web. 18 Aug 2019.

Vancouver:

Wang X. Data Mining Analysis of the Parkinson's Disease. [Internet] [Thesis]. Georgia State University; 2014. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/143.

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

Council of Science Editors:

Wang X. Data Mining Analysis of the Parkinson's Disease. [Thesis]. Georgia State University; 2014. Available from: https://scholarworks.gsu.edu/math_theses/143

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


Georgia State University

5. Ma, Zhengbo. A New Jackknife Empirical Likelihood Method for U-Statistics.

Degree: MS, Mathematics and Statistics, 2011, Georgia State University

  U-statistics generalizes the concept of mean of independent identically distributed (i.i.d.) random variables and is widely utilized in many estimating and testing problems. The… (more)

Subjects/Keywords: Confidence interval; U-statistics; Jackknife empirical likelihood; Mathematics

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

APA (6th Edition):

Ma, Z. (2011). A New Jackknife Empirical Likelihood Method for U-Statistics. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/97

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):

Ma, Zhengbo. “A New Jackknife Empirical Likelihood Method for U-Statistics.” 2011. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/97.

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

MLA Handbook (7th Edition):

Ma, Zhengbo. “A New Jackknife Empirical Likelihood Method for U-Statistics.” 2011. Web. 18 Aug 2019.

Vancouver:

Ma Z. A New Jackknife Empirical Likelihood Method for U-Statistics. [Internet] [Thesis]. Georgia State University; 2011. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/97.

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

Council of Science Editors:

Ma Z. A New Jackknife Empirical Likelihood Method for U-Statistics. [Thesis]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/math_theses/97

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


Georgia State University

6. Zhao, Meng. Treatment Comparison in Biomedical Studies Using Survival Function.

Degree: PhD, Mathematics and Statistics, 2011, Georgia State University

  In the dissertation, we study the statistical evaluation of treatment comparisons by evaluating the relative comparison of survival experiences between two treatment groups. We… (more)

Subjects/Keywords: Additive risk model; Attributive fraction function; Censoring; Confidence band; Counting Process; Cox Regression; Empirical likelihood; Martingale; Odds ratio; Ratio; Right censored data; Survival function

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APA (6th Edition):

Zhao, M. (2011). Treatment Comparison in Biomedical Studies Using Survival Function. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_diss/4

Chicago Manual of Style (16th Edition):

Zhao, Meng. “Treatment Comparison in Biomedical Studies Using Survival Function.” 2011. Doctoral Dissertation, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_diss/4.

MLA Handbook (7th Edition):

Zhao, Meng. “Treatment Comparison in Biomedical Studies Using Survival Function.” 2011. Web. 18 Aug 2019.

Vancouver:

Zhao M. Treatment Comparison in Biomedical Studies Using Survival Function. [Internet] [Doctoral dissertation]. Georgia State University; 2011. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_diss/4.

Council of Science Editors:

Zhao M. Treatment Comparison in Biomedical Studies Using Survival Function. [Doctoral Dissertation]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/math_diss/4

7. Yang, Hanfang. Empirical Likelihood Confidence Intervals for ROC Curves Under Right Censorship.

Degree: MS, Mathematics and Statistics, 2010, Georgia State University

  In this thesis, we apply smoothed empirical likelihood method to investigate confidence intervals for the receiver operating characteristic (ROC) curve with right censoring. As… (more)

Subjects/Keywords: Confidence interval; Smoothed empirical likelihood; Right censored data; ROC curves; Mathematics

Georgia State University. It would not have been possible for me to complete the requirements of… …advisor, Dr. Yichuan Zhao, for all of his guidance, understanding and patience. Without his… 

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APA (6th Edition):

Yang, H. (2010). Empirical Likelihood Confidence Intervals for ROC Curves Under Right Censorship. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/91

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):

Yang, Hanfang. “Empirical Likelihood Confidence Intervals for ROC Curves Under Right Censorship.” 2010. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/91.

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

MLA Handbook (7th Edition):

Yang, Hanfang. “Empirical Likelihood Confidence Intervals for ROC Curves Under Right Censorship.” 2010. Web. 18 Aug 2019.

Vancouver:

Yang H. Empirical Likelihood Confidence Intervals for ROC Curves Under Right Censorship. [Internet] [Thesis]. Georgia State University; 2010. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/91.

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

Council of Science Editors:

Yang H. Empirical Likelihood Confidence Intervals for ROC Curves Under Right Censorship. [Thesis]. Georgia State University; 2010. Available from: https://scholarworks.gsu.edu/math_theses/91

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

8. Liu, Xiaoxia. Semi-Empirical Likelihood Confidence Intervals for the ROC Curve with Missing Data.

Degree: MS, Mathematics and Statistics, 2010, Georgia State University

  The receiver operating characteristic (ROC) curve is one of the most commonly used methods to compare the diagnostic performances of two or more laboratory… (more)

Subjects/Keywords: Con

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

APA (6th Edition):

Liu, X. (2010). Semi-Empirical Likelihood Confidence Intervals for the ROC Curve with Missing Data. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/89

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, Xiaoxia. “Semi-Empirical Likelihood Confidence Intervals for the ROC Curve with Missing Data.” 2010. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/89.

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

MLA Handbook (7th Edition):

Liu, Xiaoxia. “Semi-Empirical Likelihood Confidence Intervals for the ROC Curve with Missing Data.” 2010. Web. 18 Aug 2019.

Vancouver:

Liu X. Semi-Empirical Likelihood Confidence Intervals for the ROC Curve with Missing Data. [Internet] [Thesis]. Georgia State University; 2010. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/89.

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

Council of Science Editors:

Liu X. Semi-Empirical Likelihood Confidence Intervals for the ROC Curve with Missing Data. [Thesis]. Georgia State University; 2010. Available from: https://scholarworks.gsu.edu/math_theses/89

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

9. meng, xueping. Jackknife Empirical Likelihood Inference for the Absolute Mean Deviation.

Degree: MS, Mathematics and Statistics, 2013, Georgia State University

  In statistics it is of interest to find a better interval estimator of the absolute mean deviation. In this thesis, we focus on using… (more)

Subjects/Keywords: Confidence interval; Coverage probability; Jackknife empirical likelihood

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APA (6th Edition):

meng, x. (2013). Jackknife Empirical Likelihood Inference for the Absolute Mean Deviation. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/132

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):

meng, xueping. “Jackknife Empirical Likelihood Inference for the Absolute Mean Deviation.” 2013. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/132.

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

MLA Handbook (7th Edition):

meng, xueping. “Jackknife Empirical Likelihood Inference for the Absolute Mean Deviation.” 2013. Web. 18 Aug 2019.

Vancouver:

meng x. Jackknife Empirical Likelihood Inference for the Absolute Mean Deviation. [Internet] [Thesis]. Georgia State University; 2013. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/132.

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

Council of Science Editors:

meng x. Jackknife Empirical Likelihood Inference for the Absolute Mean Deviation. [Thesis]. Georgia State University; 2013. Available from: https://scholarworks.gsu.edu/math_theses/132

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

10. Yang, Hanfang. Jackknife Emperical Likelihood Method and its Applications.

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

  In this dissertation, we investigate jackknife empirical likelihood methods motivated by recent statistics research and other related fields. Computational intensity of empirical likelihood can… (more)

Subjects/Keywords: Empirical likelihood; Transformation model; U-statistics; Jackknife; Partial AUC; Smoothed empirical likelihood; Missing data; ROC curves; Difference of two quantiles.

…study in the Georgia State university in last five years, I owe my gratitude to some current… …Yichuan Zhao, who first introduced me to enter the statistical academic community and taught me… 

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

APA (6th Edition):

Yang, H. (2012). Jackknife Emperical Likelihood Method and its Applications. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_diss/9

Chicago Manual of Style (16th Edition):

Yang, Hanfang. “Jackknife Emperical Likelihood Method and its Applications.” 2012. Doctoral Dissertation, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_diss/9.

MLA Handbook (7th Edition):

Yang, Hanfang. “Jackknife Emperical Likelihood Method and its Applications.” 2012. Web. 18 Aug 2019.

Vancouver:

Yang H. Jackknife Emperical Likelihood Method and its Applications. [Internet] [Doctoral dissertation]. Georgia State University; 2012. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_diss/9.

Council of Science Editors:

Yang H. Jackknife Emperical Likelihood Method and its Applications. [Doctoral Dissertation]. Georgia State University; 2012. Available from: https://scholarworks.gsu.edu/math_diss/9


Georgia State University

11. Viswanath, Navin. Inconsistency and Incompleteness in Relational Databases and Logic Programs.

Degree: PhD, Computer Science, 2009, Georgia State University

 The aim of this thesis is to study the role played by negation in databases and to develop data models that can handle inconsistent and… (more)

Subjects/Keywords: Nonmonotonic reasoning; Negation; Logic programming; Inconsistency; Incompleteness; Computer Sciences

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APA (6th Edition):

Viswanath, N. (2009). Inconsistency and Incompleteness in Relational Databases and Logic Programs. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/38

Chicago Manual of Style (16th Edition):

Viswanath, Navin. “Inconsistency and Incompleteness in Relational Databases and Logic Programs.” 2009. Doctoral Dissertation, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/cs_diss/38.

MLA Handbook (7th Edition):

Viswanath, Navin. “Inconsistency and Incompleteness in Relational Databases and Logic Programs.” 2009. Web. 18 Aug 2019.

Vancouver:

Viswanath N. Inconsistency and Incompleteness in Relational Databases and Logic Programs. [Internet] [Doctoral dissertation]. Georgia State University; 2009. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/cs_diss/38.

Council of Science Editors:

Viswanath N. Inconsistency and Incompleteness in Relational Databases and Logic Programs. [Doctoral Dissertation]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/cs_diss/38


Georgia State University

12. Rai, Sanish. BUILDING OCCUPANCY SIMULATION AND DATA ASSIMILATION USING A GRAPH BASED AGENT ORIENTED MODEL.

Degree: PhD, Computer Science, 2016, Georgia State University

  Building occupancy simulation and estimation simulates the dynamics of occupants and estimates the real time spatial distribution of occupants in a building. It can… (more)

Subjects/Keywords: Building Occupancy Simulation; Agent based; Graph based; Occupancy Dynamics Estimation; Data assimilation; Sequential Monte Carlo Methods

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APA (6th Edition):

Rai, S. (2016). BUILDING OCCUPANCY SIMULATION AND DATA ASSIMILATION USING A GRAPH BASED AGENT ORIENTED MODEL. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/114

Chicago Manual of Style (16th Edition):

Rai, Sanish. “BUILDING OCCUPANCY SIMULATION AND DATA ASSIMILATION USING A GRAPH BASED AGENT ORIENTED MODEL.” 2016. Doctoral Dissertation, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/cs_diss/114.

MLA Handbook (7th Edition):

Rai, Sanish. “BUILDING OCCUPANCY SIMULATION AND DATA ASSIMILATION USING A GRAPH BASED AGENT ORIENTED MODEL.” 2016. Web. 18 Aug 2019.

Vancouver:

Rai S. BUILDING OCCUPANCY SIMULATION AND DATA ASSIMILATION USING A GRAPH BASED AGENT ORIENTED MODEL. [Internet] [Doctoral dissertation]. Georgia State University; 2016. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/cs_diss/114.

Council of Science Editors:

Rai S. BUILDING OCCUPANCY SIMULATION AND DATA ASSIMILATION USING A GRAPH BASED AGENT ORIENTED MODEL. [Doctoral Dissertation]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/cs_diss/114


Georgia State University

13. Xia, Jun. Statistical Models and Analysis of Growth Processes in Biological Tissue.

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

  The mechanisms that control growth processes in biology tissues have attracted continuous research interest despite their complexity. With the emergence of big data experimental… (more)

Subjects/Keywords: Neuronal Tree; Stochastic Models; Maximum Length Constraint; Tumor Size Growth Rate; Survival Analysis; Model Selection

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APA (6th Edition):

Xia, J. (2016). Statistical Models and Analysis of Growth Processes in Biological Tissue. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_diss/39

Chicago Manual of Style (16th Edition):

Xia, Jun. “Statistical Models and Analysis of Growth Processes in Biological Tissue.” 2016. Doctoral Dissertation, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_diss/39.

MLA Handbook (7th Edition):

Xia, Jun. “Statistical Models and Analysis of Growth Processes in Biological Tissue.” 2016. Web. 18 Aug 2019.

Vancouver:

Xia J. Statistical Models and Analysis of Growth Processes in Biological Tissue. [Internet] [Doctoral dissertation]. Georgia State University; 2016. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_diss/39.

Council of Science Editors:

Xia J. Statistical Models and Analysis of Growth Processes in Biological Tissue. [Doctoral Dissertation]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/math_diss/39


Georgia State University

14. Valdovinos Alvarez, Jose Manuel. Empirical Likelihood Confidence Intervals for the Population Mean Based on Incomplete Data.

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

  The use of doubly robust estimators is a key for estimating the population mean response in the presence of incomplete data. Cao et al.… (more)

Subjects/Keywords: Missing Data; Doubly Robust Estimation; Empirical Likelihood; Jackknife Empirical Likelihood; Profile Empirical Likelihood

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APA (6th Edition):

Valdovinos Alvarez, J. M. (2015). Empirical Likelihood Confidence Intervals for the Population Mean Based on Incomplete Data. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/145

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):

Valdovinos Alvarez, Jose Manuel. “Empirical Likelihood Confidence Intervals for the Population Mean Based on Incomplete Data.” 2015. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/145.

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

MLA Handbook (7th Edition):

Valdovinos Alvarez, Jose Manuel. “Empirical Likelihood Confidence Intervals for the Population Mean Based on Incomplete Data.” 2015. Web. 18 Aug 2019.

Vancouver:

Valdovinos Alvarez JM. Empirical Likelihood Confidence Intervals for the Population Mean Based on Incomplete Data. [Internet] [Thesis]. Georgia State University; 2015. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/145.

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

Council of Science Editors:

Valdovinos Alvarez JM. Empirical Likelihood Confidence Intervals for the Population Mean Based on Incomplete Data. [Thesis]. Georgia State University; 2015. Available from: https://scholarworks.gsu.edu/math_theses/145

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


Georgia State University

15. Zhu, Yun. Dynamic Ensemble Selection with Regional Expertise.

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

  Many recent works have shown that ensemble methods yield better generalizability over single classifier approach by aggregating the decisions of all base learners in… (more)

Subjects/Keywords: Ensemble; MCS; DES; Metric Learning

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APA (6th Edition):

Zhu, Y. (2015). Dynamic Ensemble Selection with Regional Expertise. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/97

Chicago Manual of Style (16th Edition):

Zhu, Yun. “Dynamic Ensemble Selection with Regional Expertise.” 2015. Doctoral Dissertation, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/cs_diss/97.

MLA Handbook (7th Edition):

Zhu, Yun. “Dynamic Ensemble Selection with Regional Expertise.” 2015. Web. 18 Aug 2019.

Vancouver:

Zhu Y. Dynamic Ensemble Selection with Regional Expertise. [Internet] [Doctoral dissertation]. Georgia State University; 2015. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/cs_diss/97.

Council of Science Editors:

Zhu Y. Dynamic Ensemble Selection with Regional Expertise. [Doctoral Dissertation]. Georgia State University; 2015. Available from: https://scholarworks.gsu.edu/cs_diss/97


Georgia State University

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

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 August 18, 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. 18 Aug 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 Aug 18]. 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

17. Huang, Haitao. Spatial Analysis of Retinal Pigment Epithelium Morphology.

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

  In patients with age-related macular degeneration, a monolayer of cells in the eyes called retinal pigment epithelium differ from healthy ones in morphology. It… (more)

Subjects/Keywords: Retinal pigment epithelium; Age-related macular degeneration; Cell morphometric data; Spatial analysis; k-Nearest Neighbors algorithm; Classification

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

APA (6th Edition):

Huang, H. (2016). Spatial Analysis of Retinal Pigment Epithelium Morphology. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/153

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):

Huang, Haitao. “Spatial Analysis of Retinal Pigment Epithelium Morphology.” 2016. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/153.

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

MLA Handbook (7th Edition):

Huang, Haitao. “Spatial Analysis of Retinal Pigment Epithelium Morphology.” 2016. Web. 18 Aug 2019.

Vancouver:

Huang H. Spatial Analysis of Retinal Pigment Epithelium Morphology. [Internet] [Thesis]. Georgia State University; 2016. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/153.

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

Council of Science Editors:

Huang H. Spatial Analysis of Retinal Pigment Epithelium Morphology. [Thesis]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/math_theses/153

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


Georgia State University

18. Wang, Hongwei. Effect of Risk and Prognosis Factors on Breast Cancer Survival: Study of a Large Dataset with a Long Term Follow-up.

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

  The main goal of this study is to seek the effects of some risk and prognostic factors contributing to survival of female invasive breast… (more)

Subjects/Keywords: SEER; Breast cancer; Risk factors; Survival; Cox regression model; Logistic regression analysis

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

APA (6th Edition):

Wang, H. (2012). Effect of Risk and Prognosis Factors on Breast Cancer Survival: Study of a Large Dataset with a Long Term Follow-up. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/116

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

Chicago Manual of Style (16th Edition):

Wang, Hongwei. “Effect of Risk and Prognosis Factors on Breast Cancer Survival: Study of a Large Dataset with a Long Term Follow-up.” 2012. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/116.

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

MLA Handbook (7th Edition):

Wang, Hongwei. “Effect of Risk and Prognosis Factors on Breast Cancer Survival: Study of a Large Dataset with a Long Term Follow-up.” 2012. Web. 18 Aug 2019.

Vancouver:

Wang H. Effect of Risk and Prognosis Factors on Breast Cancer Survival: Study of a Large Dataset with a Long Term Follow-up. [Internet] [Thesis]. Georgia State University; 2012. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/116.

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

Council of Science Editors:

Wang H. Effect of Risk and Prognosis Factors on Breast Cancer Survival: Study of a Large Dataset with a Long Term Follow-up. [Thesis]. Georgia State University; 2012. Available from: https://scholarworks.gsu.edu/math_theses/116

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


Georgia State University

19. Liu, Yang. Analysis of Dependently Truncated Sample Using Inverse Probability Weighted Estimator.

Degree: MS, Mathematics and Statistics, 2011, Georgia State University

  Many statistical methods for truncated data rely on the assumption that the failure and truncation time are independent, which can be unrealistic in applications.… (more)

Subjects/Keywords: Left truncation; Dependent; Inverse probability weighting; Cox regression model; SAS programming; Mathematics

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

APA (6th Edition):

Liu, Y. (2011). Analysis of Dependently Truncated Sample Using Inverse Probability Weighted Estimator. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/110

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, Yang. “Analysis of Dependently Truncated Sample Using Inverse Probability Weighted Estimator.” 2011. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/110.

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

MLA Handbook (7th Edition):

Liu, Yang. “Analysis of Dependently Truncated Sample Using Inverse Probability Weighted Estimator.” 2011. Web. 18 Aug 2019.

Vancouver:

Liu Y. Analysis of Dependently Truncated Sample Using Inverse Probability Weighted Estimator. [Internet] [Thesis]. Georgia State University; 2011. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/110.

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

Council of Science Editors:

Liu Y. Analysis of Dependently Truncated Sample Using Inverse Probability Weighted Estimator. [Thesis]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/math_theses/110

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


Georgia State University

20. Syed, Ali R. A Review of Cross Validation and Adaptive Model Selection.

Degree: MS, Mathematics and Statistics, 2011, Georgia State University

We perform a review of model selection procedures, in particular various cross validation procedures and adaptive model selection.  We cover important results for these procedures and explore the connections between different procedures and information criteria. Advisors/Committee Members: Yixin Fang, Yichuan Zhao, Jiawei Liu.

Subjects/Keywords: Cross validation; Model selection; Adaptive model selection; Mathematics

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

APA (6th Edition):

Syed, A. R. (2011). A Review of Cross Validation and Adaptive Model Selection. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/99

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):

Syed, Ali R. “A Review of Cross Validation and Adaptive Model Selection.” 2011. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/99.

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

MLA Handbook (7th Edition):

Syed, Ali R. “A Review of Cross Validation and Adaptive Model Selection.” 2011. Web. 18 Aug 2019.

Vancouver:

Syed AR. A Review of Cross Validation and Adaptive Model Selection. [Internet] [Thesis]. Georgia State University; 2011. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/99.

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

Council of Science Editors:

Syed AR. A Review of Cross Validation and Adaptive Model Selection. [Thesis]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/math_theses/99

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


Georgia State University

21. Zhao, Hui. Discrimination of High Risk and Low Risk Populations for the Treatment of STDs.

Degree: MS, Mathematics and Statistics, 2011, Georgia State University

  It is an important step in clinical practice to discriminate real diseased patients from healthy persons. It would be great to get such discrimination… (more)

Subjects/Keywords: Sexually transmitted diseases (STDs); Generalized linear model; Receiver operating characteristic (ROC) curve; Mathematics

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

APA (6th Edition):

Zhao, H. (2011). Discrimination of High Risk and Low Risk Populations for the Treatment of STDs. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/104

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):

Zhao, Hui. “Discrimination of High Risk and Low Risk Populations for the Treatment of STDs.” 2011. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/104.

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

MLA Handbook (7th Edition):

Zhao, Hui. “Discrimination of High Risk and Low Risk Populations for the Treatment of STDs.” 2011. Web. 18 Aug 2019.

Vancouver:

Zhao H. Discrimination of High Risk and Low Risk Populations for the Treatment of STDs. [Internet] [Thesis]. Georgia State University; 2011. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/104.

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

Council of Science Editors:

Zhao H. Discrimination of High Risk and Low Risk Populations for the Treatment of STDs. [Thesis]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/math_theses/104

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


Georgia State University

22. Han, Guangming. Prevalence of Chronic Diseases and Risk Factors for Death among Elderly Americans.

Degree: MS, Mathematics and Statistics, 2011, Georgia State University

  The main aim of this study is to explore the effects of risk factors contributing to death in the elderly American population. To achieve… (more)

Subjects/Keywords: Prevalence; Chronic disease; Risk factors; Death; Survival; Elderly population; Cox regression model; Logistic regression model and LSOA II; Mathematics

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

APA (6th Edition):

Han, G. (2011). Prevalence of Chronic Diseases and Risk Factors for Death among Elderly Americans. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/108

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):

Han, Guangming. “Prevalence of Chronic Diseases and Risk Factors for Death among Elderly Americans.” 2011. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/108.

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

MLA Handbook (7th Edition):

Han, Guangming. “Prevalence of Chronic Diseases and Risk Factors for Death among Elderly Americans.” 2011. Web. 18 Aug 2019.

Vancouver:

Han G. Prevalence of Chronic Diseases and Risk Factors for Death among Elderly Americans. [Internet] [Thesis]. Georgia State University; 2011. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/108.

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

Council of Science Editors:

Han G. Prevalence of Chronic Diseases and Risk Factors for Death among Elderly Americans. [Thesis]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/math_theses/108

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


Georgia State University

23. Brooks, Timesha U. Estimation Algorithm for Mixture of Experts Recurrent Event Model.

Degree: MS, Mathematics and Statistics, 2011, Georgia State University

  This paper proposes a mixture of experts recurrent events model. This general model accommodates an unobservable frailty variable, intervention effect, influence of accumulating event… (more)

Subjects/Keywords: Recurrent events; Mixture of Experts; Accumulating Events; Frailty; Effective Age; Mathematics

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

APA (6th Edition):

Brooks, T. U. (2011). Estimation Algorithm for Mixture of Experts Recurrent Event Model. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/113

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):

Brooks, Timesha U. “Estimation Algorithm for Mixture of Experts Recurrent Event Model.” 2011. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/113.

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

MLA Handbook (7th Edition):

Brooks, Timesha U. “Estimation Algorithm for Mixture of Experts Recurrent Event Model.” 2011. Web. 18 Aug 2019.

Vancouver:

Brooks TU. Estimation Algorithm for Mixture of Experts Recurrent Event Model. [Internet] [Thesis]. Georgia State University; 2011. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/113.

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

Council of Science Editors:

Brooks TU. Estimation Algorithm for Mixture of Experts Recurrent Event Model. [Thesis]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/math_theses/113

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


Georgia State University

24. Suo, Xiaoyuan. A Task-Centered Visualization Design Environment and a Method for Measuring the Complexity of Visualization Designs.

Degree: PhD, Computer Science, 2009, Georgia State University

 Recent years have seen a growing interest in the emerging area of computer security visualization which is about developing visualization methods to help solve computer… (more)

Subjects/Keywords: Evaluation; Complexity; Information visualization; Computer Sciences

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

APA (6th Edition):

Suo, X. (2009). A Task-Centered Visualization Design Environment and a Method for Measuring the Complexity of Visualization Designs. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/41

Chicago Manual of Style (16th Edition):

Suo, Xiaoyuan. “A Task-Centered Visualization Design Environment and a Method for Measuring the Complexity of Visualization Designs.” 2009. Doctoral Dissertation, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/cs_diss/41.

MLA Handbook (7th Edition):

Suo, Xiaoyuan. “A Task-Centered Visualization Design Environment and a Method for Measuring the Complexity of Visualization Designs.” 2009. Web. 18 Aug 2019.

Vancouver:

Suo X. A Task-Centered Visualization Design Environment and a Method for Measuring the Complexity of Visualization Designs. [Internet] [Doctoral dissertation]. Georgia State University; 2009. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/cs_diss/41.

Council of Science Editors:

Suo X. A Task-Centered Visualization Design Environment and a Method for Measuring the Complexity of Visualization Designs. [Doctoral Dissertation]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/cs_diss/41


Georgia State University

25. Lu, Yinghua. Empirical Likelihood Inference for the Accelerated Failure Time Model via Kendall Estimating Equation.

Degree: MS, Mathematics and Statistics, 2010, Georgia State University

 In this thesis, we study two methods for inference of parameters in the accelerated failure time model with right censoring data. One is the Wald-type… (more)

Subjects/Keywords: Confidence interval; Coverage probability; Average length; U-statistic; Empirical likelihood; Kendall’s rank regression; Censored data; Mathematics

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

APA (6th Edition):

Lu, Y. (2010). Empirical Likelihood Inference for the Accelerated Failure Time Model via Kendall Estimating Equation. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/76

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):

Lu, Yinghua. “Empirical Likelihood Inference for the Accelerated Failure Time Model via Kendall Estimating Equation.” 2010. Thesis, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_theses/76.

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

MLA Handbook (7th Edition):

Lu, Yinghua. “Empirical Likelihood Inference for the Accelerated Failure Time Model via Kendall Estimating Equation.” 2010. Web. 18 Aug 2019.

Vancouver:

Lu Y. Empirical Likelihood Inference for the Accelerated Failure Time Model via Kendall Estimating Equation. [Internet] [Thesis]. Georgia State University; 2010. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_theses/76.

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

Council of Science Editors:

Lu Y. Empirical Likelihood Inference for the Accelerated Failure Time Model via Kendall Estimating Equation. [Thesis]. Georgia State University; 2010. Available from: https://scholarworks.gsu.edu/math_theses/76

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


Georgia State University

26. Yang, Hong. Modeling and Querying Graph Data.

Degree: PhD, Computer Science, 2009, Georgia State University

 Databases are used in many applications, spanning virtually the entire range of data processing services industry. The data in many database applications can be most… (more)

Subjects/Keywords: Object database; G-algebra; Graph data model; Graph query language; Computer Sciences

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

APA (6th Edition):

Yang, H. (2009). Modeling and Querying Graph Data. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/34

Chicago Manual of Style (16th Edition):

Yang, Hong. “Modeling and Querying Graph Data.” 2009. Doctoral Dissertation, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/cs_diss/34.

MLA Handbook (7th Edition):

Yang, Hong. “Modeling and Querying Graph Data.” 2009. Web. 18 Aug 2019.

Vancouver:

Yang H. Modeling and Querying Graph Data. [Internet] [Doctoral dissertation]. Georgia State University; 2009. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/cs_diss/34.

Council of Science Editors:

Yang H. Modeling and Querying Graph Data. [Doctoral Dissertation]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/cs_diss/34


Georgia State University

27. Lu, Yunmei. Privacy Preserving Data Mining For Horizontally Distributed Medical Data Analysis.

Degree: PhD, Computer Science, 2016, Georgia State University

  To build reliable prediction models and identify useful patterns, assembling data sets from databases maintained by different sources such as hospitals becomes increasingly common;… (more)

Subjects/Keywords: Privacy preserving; Distributed data mining; Classification; Feature selection; Support Vector Machine; Kernel matrix approximation and decomposition

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

APA (6th Edition):

Lu, Y. (2016). Privacy Preserving Data Mining For Horizontally Distributed Medical Data Analysis. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/119

Chicago Manual of Style (16th Edition):

Lu, Yunmei. “Privacy Preserving Data Mining For Horizontally Distributed Medical Data Analysis.” 2016. Doctoral Dissertation, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/cs_diss/119.

MLA Handbook (7th Edition):

Lu, Yunmei. “Privacy Preserving Data Mining For Horizontally Distributed Medical Data Analysis.” 2016. Web. 18 Aug 2019.

Vancouver:

Lu Y. Privacy Preserving Data Mining For Horizontally Distributed Medical Data Analysis. [Internet] [Doctoral dissertation]. Georgia State University; 2016. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/cs_diss/119.

Council of Science Editors:

Lu Y. Privacy Preserving Data Mining For Horizontally Distributed Medical Data Analysis. [Doctoral Dissertation]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/cs_diss/119


Georgia State University

28. Ding, Zejin. Diversified Ensemble Classifiers for Highly Imbalanced Data Learning and their Application in Bioinformatics.

Degree: PhD, Computer Science, 2011, Georgia State University

  In this dissertation, the problem of learning from highly imbalanced data is studied. Imbalance data learning is of great importance and challenge in many… (more)

Subjects/Keywords: Machine learning; Classification; Imbalanced data learning; Diversified ensemble; Active learning; Artificial data generation; Bioinformatics; Protein methylation

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

APA (6th Edition):

Ding, Z. (2011). Diversified Ensemble Classifiers for Highly Imbalanced Data Learning and their Application in Bioinformatics. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/60

Chicago Manual of Style (16th Edition):

Ding, Zejin. “Diversified Ensemble Classifiers for Highly Imbalanced Data Learning and their Application in Bioinformatics.” 2011. Doctoral Dissertation, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/cs_diss/60.

MLA Handbook (7th Edition):

Ding, Zejin. “Diversified Ensemble Classifiers for Highly Imbalanced Data Learning and their Application in Bioinformatics.” 2011. Web. 18 Aug 2019.

Vancouver:

Ding Z. Diversified Ensemble Classifiers for Highly Imbalanced Data Learning and their Application in Bioinformatics. [Internet] [Doctoral dissertation]. Georgia State University; 2011. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/cs_diss/60.

Council of Science Editors:

Ding Z. Diversified Ensemble Classifiers for Highly Imbalanced Data Learning and their Application in Bioinformatics. [Doctoral Dissertation]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/cs_diss/60


Georgia State University

29. Li, Yi. A Generalization of AUC to an Ordered Multi-Class Diagnosis and Application to Longitudinal Data Analysis on Intellectual Outcome in Pediatric Brain-Tumor Patients.

Degree: PhD, Mathematics and Statistics, 2009, Georgia State University

  Receiver operating characteristic (ROC) curves have been widely used in evaluation of the goodness of the diagnostic method in many study fields, such as… (more)

Subjects/Keywords: Pediatric brain tumors; PRESS; Gompertz growth model; Hierarchical linear model; Standard Binet Intelligence; Longitudinal data; ROC curve; Volume under the surface (VUS); Mathematics

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

APA (6th Edition):

Li, Y. (2009). A Generalization of AUC to an Ordered Multi-Class Diagnosis and Application to Longitudinal Data Analysis on Intellectual Outcome in Pediatric Brain-Tumor Patients. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_diss/1

Chicago Manual of Style (16th Edition):

Li, Yi. “A Generalization of AUC to an Ordered Multi-Class Diagnosis and Application to Longitudinal Data Analysis on Intellectual Outcome in Pediatric Brain-Tumor Patients.” 2009. Doctoral Dissertation, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/math_diss/1.

MLA Handbook (7th Edition):

Li, Yi. “A Generalization of AUC to an Ordered Multi-Class Diagnosis and Application to Longitudinal Data Analysis on Intellectual Outcome in Pediatric Brain-Tumor Patients.” 2009. Web. 18 Aug 2019.

Vancouver:

Li Y. A Generalization of AUC to an Ordered Multi-Class Diagnosis and Application to Longitudinal Data Analysis on Intellectual Outcome in Pediatric Brain-Tumor Patients. [Internet] [Doctoral dissertation]. Georgia State University; 2009. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/math_diss/1.

Council of Science Editors:

Li Y. A Generalization of AUC to an Ordered Multi-Class Diagnosis and Application to Longitudinal Data Analysis on Intellectual Outcome in Pediatric Brain-Tumor Patients. [Doctoral Dissertation]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/math_diss/1


Georgia State University

30. Abu-halaweh, Nael Mohammed. Integrating Information Theory Measures and a Novel Rule-Set-Reduction Tech-nique to Improve Fuzzy Decision Tree Induction Algorithms.

Degree: PhD, Computer Science, 2009, Georgia State University

 Machine learning approaches have been successfully applied to many classification and prediction problems. One of the most popular machine learning approaches is decision trees. A… (more)

Subjects/Keywords: Decision tree; ID3; Fuzzy ID3; FID3; Classification; Fuzzy; MicroRNA; Prediction; Rule-set reduction; Machine learning; Pre-microRNA; Computer Sciences

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APA (6th Edition):

Abu-halaweh, N. M. (2009). Integrating Information Theory Measures and a Novel Rule-Set-Reduction Tech-nique to Improve Fuzzy Decision Tree Induction Algorithms. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/48

Chicago Manual of Style (16th Edition):

Abu-halaweh, Nael Mohammed. “Integrating Information Theory Measures and a Novel Rule-Set-Reduction Tech-nique to Improve Fuzzy Decision Tree Induction Algorithms.” 2009. Doctoral Dissertation, Georgia State University. Accessed August 18, 2019. https://scholarworks.gsu.edu/cs_diss/48.

MLA Handbook (7th Edition):

Abu-halaweh, Nael Mohammed. “Integrating Information Theory Measures and a Novel Rule-Set-Reduction Tech-nique to Improve Fuzzy Decision Tree Induction Algorithms.” 2009. Web. 18 Aug 2019.

Vancouver:

Abu-halaweh NM. Integrating Information Theory Measures and a Novel Rule-Set-Reduction Tech-nique to Improve Fuzzy Decision Tree Induction Algorithms. [Internet] [Doctoral dissertation]. Georgia State University; 2009. [cited 2019 Aug 18]. Available from: https://scholarworks.gsu.edu/cs_diss/48.

Council of Science Editors:

Abu-halaweh NM. Integrating Information Theory Measures and a Novel Rule-Set-Reduction Tech-nique to Improve Fuzzy Decision Tree Induction Algorithms. [Doctoral Dissertation]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/cs_diss/48

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