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2.
Generalized linear regression models for count data
by Nava, Martha, M.S.  California State University, Long Beach. 2014: 54 pages; 1528005.
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6.
Controlling with Model Trees
by Kemerling, Robert Alan, Ph.D.  Nova Southeastern University. 2011: 121 pages; 3478677.
8.
Development of Treatment Performance Models for Flexible Pavements
by Bhuyan, Mohammad Reza-Ul-Karim, M.S.  University of Louisiana at Lafayette. 2013: 77 pages; 1553888.
10.
Multiple regression analyses in the prediction of aerospace instrument costs
by Tran, Linh, M.S.  California State University, Long Beach. 2011: 78 pages; 1493191.
12.
Slope estimation in a parametric measurement error model: A simulation study
by Lu, Hui, M.S.  The University of Texas School of Public Health. 2011: 38 pages; 1502170.
13.
Inverse circular regression with possibly asymmetric error distribution
by Kim, Sungsu, Ph.D.  University of California, Riverside. 2009: 122 pages; 3374428.
15.
Approximating algebraic formulas for prediction bounds on regression-based estimates
by Feldman, Daniel, M.S.  California State University, Long Beach. 2009: 75 pages; 1472274.
16.
Optimal designs for segmented polynomial regression models and web-based implementation of optimal design software
by Wu, XiangFeng, Ph.D.  State University of New York at Stony Brook. 2007: 81 pages; 3337619.
17.
Automatic Shape-Constrained Non-Parametric Regression
by Gao, Zhikun, Ph.D.  The George Washington University. 2019: 173 pages; 13813788.
18.
Flexible isotonic regression in survival data analysis
by Ma, Yong, Ph.D.  The George Washington University. 2010: 164 pages; 3413642.
19.
Regression Analysis of Big Count Data Via A-optimal Subsampling
by Zhao, Xiaofeng, Ph.D.  Purdue University. 2018: 135 pages; 10842952.
20.
Dynamic Gaussian Process Models for Model Predictive Control of Vehicle Roll
by Broderick, David J., Ph.D.  Auburn University. 2012: 121 pages; 3520452.
21.
Prioritized Grammar Enumeration: A novel method for symbolic regression
by Worm, Anthony, Ph.D.  State University of New York at Binghamton. 2016: 180 pages; 10137419.
22.
Generalized fiducial inference for mixed linear models
by Cisewski, Jessica, Ph.D.  The University of North Carolina at Chapel Hill. 2012: 151 pages; 3512608.
23.
Properties of an R square statistic for fixed effects in the linear mixed model for longitudinal data
by Matuszewski, Jeanine M., Ph.D.  The University of North Carolina at Chapel Hill. 2011: 164 pages; 3495513.
24.
Modeling and Forecast of Brazilian Reservoir Inflows via Dynamic Linear Models under Climate Change Scenarios
by Lima, Luana Medeiros Marangon, Ph.D.  The University of Texas at Austin. 2011: 184 pages; 3530293.
27.
Regression Strategies for Low-Dimensional Problems with Application to Color Management
by Garcia, Eric K., Ph.D.  University of Washington. 2010: 102 pages; 3445541.
28.
Local spatial modeling using Geographically Weighted Regression (GWR)
by Wankie, Che, M.S.  California State University, Long Beach. 2013: 112 pages; 1523087.
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