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4.
The functioning of global fit statistics in latent growth curve modeling
by DeRoche, Kathryn K., Ph.D.  University of Northern Colorado. 2009: 165 pages; 3397105.
5.
Robust Estimation of Parametric Models for Insurance Loss Data
by Poudyal, Chudamani, Ph.D.  The University of Wisconsin - Milwaukee. 2018: 127 pages; 10829498.
6.
The stochastics of diagnostic and threat detection tests
by Gordon, Anna S., Ph.D.  The George Washington University. 2012: 143 pages; 3502847.
7.
Statistics for Diffusion Processes with Low and High-Frequency Observations
by Chorowski, Jakub Stanisław, Ph.D.  Humboldt Universitaet zu Berlin (Germany). 2016: 150 pages; 10729892.
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Efficient Markov Chain Monte Carlo Methods
by Fang, Youhan, Ph.D.  Purdue University. 2018: 107 pages; 10809188.
9.
Robust and Computationally Efficient Methods for Fitting Loss Models and Pricing Insurance Risks
by Zhao, Qian, Ph.D.  The University of Wisconsin - Milwaukee. 2017: 89 pages; 10259880.
10.
Score-informed musical source separation and reconstruction
by Han, Yushen, Ph.D.  Indiana University. 2013: 152 pages; 3609061.
11.
Computational Bayesian Methods Applied to Complex Problems in Bio and Astro Statistics
by Elrod, Chris, Ph.D.  Baylor University. 2019: 103 pages; 27540692.
12.
A Bayesian Approach to Reduced Order Modeling in Catalytic Steam Reforming
by Ford, Evan D., M.S.  West Virginia University. 2015: 61 pages; 1596597.
13.
Two-Year College Mathematics Instructors' Conceptions of Variation
by Dabos, Monica Graciela Gandhini, Ph.D.  University of California, Santa Barbara. 2011: 233 pages; 3495670.
14.
Identifying Student Mental Models from Their Response Pattern to a Physics Multiple-Choice Test
by Maggio, Maximiliano Jose Montenegro, Ph.D.  The Ohio State University. 2008: 217 pages; 10631189.
15.
A New Measure of Quality of Life and Its Application in the Regions of the Russian Federation
by Safonov, Taras Aleksandrovich, M.A.  Western Illinois University. 2015: 113 pages; 1597385.
16.
Drivers of Spatial Dispersion and Residence Time of Coarse Sediment in Gravel-Bed Rivers
by Voepel, Hal, Ph.D.  University of Nevada, Reno. 2013: 244 pages; 3595760.
17.
Preparing for What? Design Floods and Environmental Change
by Luke, Adam, Ph.D.  University of California, Irvine. 2018: 178 pages; 10825637.
18.
Advanced Placement Statistics Teaching Knowledge Assessment
by Haines, Brenna, Ed.D.  The George Washington University. 2014: 175 pages; 3631362.
19.
Bayesian methods for estimating ROC curves
by Zur, Richard Michael, Ph.D.  The University of Chicago. 2010: 194 pages; 3432839.
20.
Vulnerability Assessment of Groundwater to NO3 Contamination Using GIS, DRASTIC Model and Geostatistical Analysis
by Agyemang, Adela Beauty Adu, M.S.  East Tennessee State University. 2017: 101 pages; 13830146.
21.
Sampling Fish: A Case Study from the Čïxwicen Site, Northwest Washington
by Syvertson, Laura Maye, M.S.  Portland State University. 2017: 121 pages; 10601307.
22.
Improving non-linear approaches to anomaly detection, class separation, and visualization
by Paciencia, Todd J., Ph.D.  Air Force Institute of Technology. 2014: 354 pages; 3667806.
23.
Bayesian Biclustering on Discrete Data: Variable Selection Methods
by Guo, Lei, Ph.D.  Harvard University. 2013: 143 pages; 3600176.
24.
Contributions to outlier detection methods: Some theory and applications
by Dovoedo, Yinaze Herve, Ph.D.  The University of Alabama. 2011: 192 pages; 3478576.
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Performance evaluation in Bayesian adaptive randomization
by Wang, Degang, M.S.  The University of Texas School of Public Health. 2008: 60 pages; 1460814.
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28.
Statistical Methods for High Dimensional Variable Selection
by Li, Kaiqiao, Ph.D.  State University of New York at Stony Brook. 2019: 114 pages; 13427291.
29.
Robust Principal Component Analysis
by Kpamegan, Neil Racheed, M.S.  American University. 2018: 47 pages; 10784806.
30.
Understanding the Retention of High Potential Employees: A Comparison of Survival Analysis Techniques
by Coats, Meredith R., Ph.D.  The George Washington University. 2018: 147 pages; 10784379.
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