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1.
Automatic Shape-Constrained Non-Parametric Regression
by Gao, Zhikun, Ph.D.  The George Washington University. 2019: 173 pages; 13813788.
2.
Flexible isotonic regression in survival data analysis
by Ma, Yong, Ph.D.  The George Washington University. 2010: 164 pages; 3413642.
3.
Refining Bounding-Box Regression for Object Localization
by Dickerson, Naomi Lynn, M.S.  Portland State University. 2017: 55 pages; 10602491.
4.
Variance function estimation in nonparametric regression model
by Wang, Lie, Ph.D.  University of Pennsylvania. 2008: 77 pages; 3328698.
5.
Generalized linear regression models for count data
by Nava, Martha, M.S.  California State University, Long Beach. 2014: 54 pages; 1528005.
6.
Local spatial modeling using Geographically Weighted Regression (GWR)
by Wankie, Che, M.S.  California State University, Long Beach. 2013: 112 pages; 1523087.
7.
Classification accuracy of logistic regression models under misspecifications
by Zhang, Enhan, Ph.D.  New York University. 2014: 137 pages; 3635317.
8.
A Regression Study: Middle School Literacy Leadership Practices in Virginia
by Pinello, Craig S., Ed.D.  The George Washington University. 2015: 164 pages; 3669715.
9.
Inverse circular regression with possibly asymmetric error distribution
by Kim, Sungsu, Ph.D.  University of California, Riverside. 2009: 122 pages; 3374428.
10.
Refined-scale crash data analysis using multi-level regression models
by Ma, Xiaoxiang, Ph.D.  Colorado State University. 2016: 175 pages; 10240737.
11.
Regressive Play: An Investigation of Regression in the Analytic Container
by McCubbin, Courtney C., M.A.  Pacifica Graduate Institute. 2019: 59 pages; 13426903.
12.
Multiple regression analyses in the prediction of aerospace instrument costs
by Tran, Linh, M.S.  California State University, Long Beach. 2011: 78 pages; 1493191.
13.
Wavelet Transform and Ensemble Logistic Regression for Driver Drowsiness Detection
by Kannanthanathu, Amal Francis, M.S.  California State University, Long Beach. 2017: 44 pages; 10639615.
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.
Regression Strategies for Low-Dimensional Problems with Application to Color Management
by Garcia, Eric K., Ph.D.  University of Washington. 2010: 102 pages; 3445541.
16.
Comparison of Cox regression and discrete time survival models
by Ye, Hong, Ph.D.  Wayne State University. 2016: 188 pages; 10153426.
17.
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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Non-homogeneous hybrid rocket fuel for enhanced regression rates utilizing partial entrainment
by Boronowsky, Kenny, M.S.  San Jose State University. 2011: 109 pages; 1500611.
21.
Approximating algebraic formulas for prediction bounds on regression-based estimates
by Feldman, Daniel, M.S.  California State University, Long Beach. 2009: 75 pages; 1472274.
22.
Nonparametric regression using wavelet transformations and noise reduction in audio signals
by Brothers, Jonathan, M.S.  California State University, Long Beach. 2009: 173 pages; 1466191.
24.
Power for Weibull Regression when the Shape Parameter is Not Constant
by Mueller, Georgia, M.S.  Southern Illinois University at Edwardsville. 2015: 60 pages; 1592094.
25.
Examining Economic Redevelopment Programs with Multinomial Logistic Regression in Colorado and Ohio
by Tharp, Kelsey, M.S.  Southern Illinois University at Edwardsville. 2015: 90 pages; 10000369.
26.
Mental health therapists' humor styles, trait mindfulness, and burnout: A regression analysis
by Townley, Margo D., Psy.D.  Union Institute and University. 2015: 99 pages; 3714274.
27.
The factors required for winning the business simulation game: A regression analysis
by Andre, Randall S., Ph.D.  Capella University. 2016: 126 pages; 10032418.
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