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31.
Variance function estimation in nonparametric regression model
by Wang, Lie, Ph.D.  University of Pennsylvania. 2008: 77 pages; 3328698.
32.
Refining Bounding-Box Regression for Object Localization
by Dickerson, Naomi Lynn, M.S.  Portland State University. 2017: 55 pages; 10602491.
33.
Classification accuracy of logistic regression models under misspecifications
by Zhang, Enhan, Ph.D.  New York University. 2014: 137 pages; 3635317.
34.
Flexible isotonic regression in survival data analysis
by Ma, Yong, Ph.D.  The George Washington University. 2010: 164 pages; 3413642.
35.
Parallel Junction Tree Algorithm on GPU
by Zheng, Lu, Ph.D.  Carnegie Mellon University. 2013: 94 pages; 3575068.
36.
Effects of Wood Harvesting on Forest Biomass and Carbon Sequestration in West Virginia
by Donahoe, Sean B., Ph.D.  George Mason University. 2011: 257 pages; 3455063.
38.
Automatic Shape-Constrained Non-Parametric Regression
by Gao, Zhikun, Ph.D.  The George Washington University. 2019: 173 pages; 13813788.
39.
Generalized linear regression models for count data
by Nava, Martha, M.S.  California State University, Long Beach. 2014: 54 pages; 1528005.
40.
Inverse circular regression with possibly asymmetric error distribution
by Kim, Sungsu, Ph.D.  University of California, Riverside. 2009: 122 pages; 3374428.
41.
Essays on Time-Varying Investment Opportunities and Investors' Asset Allocation
by Rossi, Alberto Gianluca Paolo, Ph.D.  University of California, San Diego. 2011: 168 pages; 3458500.
43.
Mechanisms of Community Assembly Beneath N-Fixing Trees in a Hawaiian Dry Woodland
by August-Schmidt, Elizabeth Melissa, Ph.D.  University of California, Santa Barbara. 2018: 123 pages; 13423031.
44.
Heterogeneous Treatment Effect Estimation Using Machine Learning
by Kuenzel, Soeren R., Ph.D.  University of California, Berkeley. 2019: 177 pages; 13903254.
45.
A national study comparing charter and traditional public schools using propensity score analysis
by Bryer, Jason M., Ph.D.  State University of New York at Albany. 2014: 202 pages; 3670877.
46.
A Regression Study: Middle School Literacy Leadership Practices in Virginia
by Pinello, Craig S., Ed.D.  The George Washington University. 2015: 164 pages; 3669715.
47.
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.
52.
Geospatial analysis of mean sensitivity in Pinus strobus
by Laxson, Thomas A., M.A.  The University of North Carolina at Greensboro. 2011: 121 pages; 1494164.
53.
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.
54.
Approximating algebraic formulas for prediction bounds on regression-based estimates
by Feldman, Daniel, M.S.  California State University, Long Beach. 2009: 75 pages; 1472274.
55.
The factors required for winning the business simulation game: A regression analysis
by Andre, Randall S., Ph.D.  Capella University. 2016: 126 pages; 10032418.
56.
Regression Analysis of Big Count Data Via A-optimal Subsampling
by Zhao, Xiaofeng, Ph.D.  Purdue University. 2018: 135 pages; 10842952.
57.
Comparison of Cox regression and discrete time survival models
by Ye, Hong, Ph.D.  Wayne State University. 2016: 188 pages; 10153426.
58.
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.
59.
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.
60.
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.
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