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2.
Bayesian methods for estimating ROC curves
by Zur, Richard Michael, Ph.D.  The University of Chicago. 2010: 194 pages; 3432839.
3.
Preparing for What? Design Floods and Environmental Change
by Luke, Adam, Ph.D.  University of California, Irvine. 2018: 178 pages; 10825637.
4.
Advanced Placement Statistics Teaching Knowledge Assessment
by Haines, Brenna, Ed.D.  The George Washington University. 2014: 175 pages; 3631362.
5.
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.
6.
The stochastics of diagnostic and threat detection tests
by Gordon, Anna S., Ph.D.  The George Washington University. 2012: 143 pages; 3502847.
7.
A Bayesian Approach to Reduced Order Modeling in Catalytic Steam Reforming
by Ford, Evan D., M.S.  West Virginia University. 2015: 61 pages; 1596597.
8.
Two-Year College Mathematics Instructors' Conceptions of Variation
by Dabos, Monica Graciela Gandhini, Ph.D.  University of California, Santa Barbara. 2011: 233 pages; 3495670.
9.
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.
10.
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.
11.
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.
14.
Score-informed musical source separation and reconstruction
by Han, Yushen, Ph.D.  Indiana University. 2013: 152 pages; 3609061.
15.
Robust Estimation of Parametric Models for Insurance Loss Data
by Poudyal, Chudamani, Ph.D.  The University of Wisconsin - Milwaukee. 2018: 127 pages; 10829498.
16.
Efficient Markov Chain Monte Carlo Methods
by Fang, Youhan, Ph.D.  Purdue University. 2018: 107 pages; 10809188.
17.
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.
18.
Statistical Analysis of Mortgage Fundings Based on Data Collected from a Mortgage Lending Institution
by Drury, Steven Gregory, M.S.  California State University, Long Beach. 2018: 149 pages; 10825922.
19.
Nonlinearity Detection Using Penalization-Based Principle
by Cong, Jie, Ph.D.  The George Washington University. 2018: 113 pages; 10927993.
20.
Model Based Clustering Algorithms with Applications
by Wei, Wutao, Ph.D.  Purdue University. 2018: 124 pages; 10830711.
21.
Hierarchical Bayesian Model for AK Composite Estimators in the Current Population Survey (CPS)
by Li, Yuan, Ph.D.  The George Washington University. 2018: 137 pages; 10748002.
22.
Using Machine Learning Methods to Predict NFL Victors
by Urista Benitez, Octavio Misael, M.S.  California State University, Long Beach. 2017: 88 pages; 10606129.
23.
Determination of Default Probability in Auto Finance through Predictive Analytics
by Pham, Huy D., M.S.  California State University, Long Beach. 2017: 69 pages; 10603734.
24.
Cure Rate Models with Nonparametric Form of Covariate Effects
by Chen, Tianlei, Ph.D.  Virginia Polytechnic Institute and State University. 2015: 105 pages; 10647357.
25.
Hurst parameter estimation of a discretely sampled ito integral with fractional Brownian motion driven integrand
by Flynn, Christopher R., Ph.D.  Stevens Institute of Technology. 2015: 294 pages; 10113763.
26.
27.
The Health Ontology Mapper (HOM) Method Semantic Interoperability at Scale
by Wynden, Rob, Ph.D.  University of California, San Francisco. 2013: 106 pages; 3587911.
28.
A general cause based methodology for analysis of dependent failures in system risk and reliability assessments
by O'Connor, Andrew N., Ph.D.  University of Maryland, College Park. 2013: 402 pages; 3587283.
29.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
30.
Generalized fiducial inference for mixed linear models
by Cisewski, Jessica, Ph.D.  The University of North Carolina at Chapel Hill. 2012: 151 pages; 3512608.
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