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1.
Essays on the econometric theory of rank regressions
by Subbotin, Viktor Yevgenyevich, Ph.D.  Northwestern University. 2008: 173 pages; 3331143.
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3.
Working correlation selection in generalized estimating equations
by Jang, Mi Jin, Ph.D.  The University of Iowa. 2011: 258 pages; 3494048.
4.
Robust Estimator for Cryo-EM Class Means in the Presence of Outliers
by Huang, Chenxi, Ph.D.  Yale University. 2015: 133 pages; 10012500.
6.
Missing data in non-parametric tests of correlated data
by Howard, Annie Green, Ph.D.  The University of North Carolina at Chapel Hill. 2012: 165 pages; 3512639.
7.
Optimal Seed Deployment under Climate Change using Spatial Models and Prediction of Genetic Merit in Loblolly Pine
by Farjat, Alfredo Ezequiel, Ph.D.  North Carolina State University. 2015: 171 pages; 10585497.
8.
Robust Inference and Network Analysis for Non-Gaussian Gene-Expression Data
by Specht, Alicia T., Ph.D.  University of Notre Dame. 2017: 126 pages; 13836379.
10.
Change -point distribution estimation in animal learning experiments
by Li, Xiaodong, Ph.D.  Columbia University. 2010: 127 pages; 3400635.
11.
Canonical correlation analysis of functional data
by King, David, Ph.D.  Arizona State University. 2009: 158 pages; 3380673.
12.
Analysis of longitudinal latent-variables with two sources of measurement error
by Nussbaum, Amy Elizabeth, Ph.D.  Southern Methodist University. 2015: 185 pages; 3740030.
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Econometric methods for improved measures of financial risk
by Kim, Moohwan, Ph.D.  University of Missouri - Columbia. 2011: 218 pages; 3515892.
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Associations and Confounding in High-Dimensional Genomics
by Darnell, Gregory Byer, Ph.D.  Princeton University. 2019: 169 pages; 13865166.
16.
A second-order growth model for longitudinal item response data
by Serrano, Daniel, Ph.D.  The University of North Carolina at Chapel Hill. 2010: 119 pages; 3418745.
17.
Robust Inference and Group Sequential Methods in Discrete Hazard Models
by Nguyen, Vinh Quang, Ph.D.  University of California, Irvine. 2011: 204 pages; 3477976.
18.
Minimum Disparity Inference for Discrete Ranked Set Sampling Data
by Alexandridis, Roxana, Ph.D.  The Ohio State University. 2005: 137 pages; 10834940.
19.
Wind Speed Preview Measurement and Estimation for Feedforward Control of Wind Turbines
by Simley, Eric J., Ph.D.  University of Colorado at Boulder. 2015: 256 pages; 3721887.
20.
Counterfactual Evaluation and Learning From Logged User Feedback
by Swaminathan, Adith, Ph.D.  Cornell University. 2017: 224 pages; 10258968.
21.
Statistical Methods in Measurement Error Correction for Brain Imaging Data Analysis
by Zhang, Mengru, Ph.D.  State University of New York at Stony Brook. 2018: 202 pages; 13424245.
22.
Rotation points from motion capture data using a closed form solution
by Knight, Jonathan Kipling, Ph.D.  University of Colorado at Colorado Springs. 2008: 154 pages; 3304519.
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Optimizing symbol timing, frequency spacing, and SNR estimation for communication systems
by Das, Aniruddha, Ph.D.  University of California, San Diego. 2013: 196 pages; 3567533.
24.
Bayesian lasso: An extension for genome-wide association study
by Joo, LiJin, Ph.D.  New York University. 2017: 119 pages; 10243856.
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Collaborative Targeted Maximum Likelihood Estimation
by Gruber, Susan, Ph.D.  University of California, Berkeley. 2011: 160 pages; 3499349.
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Efficient techniques for OFDM applications over mobile radio channels
by Schmidt, Jorge Friedrich, Ph.D.  Universidad Nacional del Sur (Argentina). 2011: 176 pages; 3472555.
28.
Modeling the Effects of Animal Movements and Behavior on Spatial Patterns of Seed Dispersal in Fragmented Landscapes
by Jones, Landon Richard, Ph.D.  University of Louisiana at Lafayette. 2017: 137 pages; 10683132.
29.
Some Statistical Methods on Design, Modeling and Analysis of High-Dimensional Data
by Shang, Shulian, Ph.D.  New York University. 2012: 120 pages; 3524267.
30.
Various considerations on performance measures for a classification of ordinal data
by Nyongesa, Denis Barasa, M.S.  California State University, Long Beach. 2016: 111 pages; 10133995.
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