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1.
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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Regression Strategies for Low-Dimensional Problems with Application to Color Management
by Garcia, Eric K., Ph.D.  University of Washington. 2010: 102 pages; 3445541.
8.
Inverse circular regression with possibly asymmetric error distribution
by Kim, Sungsu, Ph.D.  University of California, Riverside. 2009: 122 pages; 3374428.
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Multiple regression analyses in the prediction of aerospace instrument costs
by Tran, Linh, M.S.  California State University, Long Beach. 2011: 78 pages; 1493191.
10.
Approximating algebraic formulas for prediction bounds on regression-based estimates
by Feldman, Daniel, M.S.  California State University, Long Beach. 2009: 75 pages; 1472274.
11.
Automatic Shape-Constrained Non-Parametric Regression
by Gao, Zhikun, Ph.D.  The George Washington University. 2019: 173 pages; 13813788.
14.
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.
15.
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.
16.
Regression Analysis of Big Count Data Via A-optimal Subsampling
by Zhao, Xiaofeng, Ph.D.  Purdue University. 2018: 135 pages; 10842952.
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Local spatial modeling using Geographically Weighted Regression (GWR)
by Wankie, Che, M.S.  California State University, Long Beach. 2013: 112 pages; 1523087.
20.
Feature Selection by Iterative Reweighting: An Exploration of Algorithms for Linear Models and Random Forests
by Jaiantilal, Abhishek, Ph.D.  University of Colorado at Boulder. 2013: 164 pages; 3592307.
21.
The Impact of Increased Pre-Pregnant Adiposity on Birth Weight Indices
by Anderson, Helen, Ph.D.  University of Illinois at Chicago. 2011: 174 pages; 3540297.
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.
Randomized Fast Solvers for Linear and Nonlinear Problems in Data Science
by Wu, Huiwen, Ph.D.  University of California, Irvine. 2019: 151 pages; 27665431.
24.
Flexible isotonic regression in survival data analysis
by Ma, Yong, Ph.D.  The George Washington University. 2010: 164 pages; 3413642.
25.
Controlling with Model Trees
by Kemerling, Robert Alan, Ph.D.  Nova Southeastern University. 2011: 121 pages; 3478677.
26.
Hierarchical Reconstruction Method for Solving Ill-posed Linear Inverse Problems
by Zhong, Ming, Ph.D.  University of Maryland, College Park. 2016: 122 pages; 10128674.
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