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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.
2.
Generalized fiducial inference for mixed linear models
by Cisewski, Jessica, Ph.D.  The University of North Carolina at Chapel Hill. 2012: 151 pages; 3512608.
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Generalized multiple indicators, multiple causes measurement error models
by Tekwe, Carmen D., Ph.D.  State University of New York at Buffalo. 2011: 291 pages; 3440352.
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Statistical inference procedure for step-stress accelerated life testing models
by Lee, Jinsuk, Ph.D.  Arizona State University. 2008: 113 pages; 3338480.
10.
Methods for increasing domains of convergence in iterative linear system solvers
by Imberti, David M., Ph.D.  Purdue University. 2013: 94 pages; 3613148.
12.
Population-averaged models for diagnostic accuracy studies and meta-analysis
by Powers, James Murray, Dr.P.H.  The University of North Carolina at Chapel Hill. 2013: 133 pages; 3562789.
13.
Statistical modeling with counts of bats
by Ingersoll, Thomas Eugene, Ph.D.  University of California, Berkeley. 2010: 115 pages; 3448989.
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Generalized deformation and total velocity change analysis system of equations (G-DaTAΔV™)
by Ogden, Jerry Scott, Ph.D.  University of Colorado at Denver. 2015: 276 pages; 3739580.
18.
A linear compensatory counterpart to and generalization of the DINA model
by Tseng, Huiyun, Ph.D.  Columbia University. 2010: 77 pages; 3420886.
21.
The development of a generalized meshfree approximation for solid and fracture analysis
by Park, Chung-Kyu, D.Sc.  The George Washington University. 2009: 184 pages; 3389941.
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Integrating Exponential Dispersion Models to Latent Structures
by Basbug, Mehmet Emin, Ph.D.  Princeton University. 2017: 125 pages; 10254057.
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Statistical Methods for High Dimensional Variable Selection
by Li, Kaiqiao, Ph.D.  State University of New York at Stony Brook. 2019: 114 pages; 13427291.
27.
A non-linear discrete stochastic optimization model for Advanced Access patient appointment scheduling
by Sundaram, Ramakrishnan, Ph.D.  Florida International University. 2007: 195 pages; 3268672.
28.
Bounding estimation integrity risk for linear systems with structured stochastic modeling uncertainty
by Langel, Steven Edward, Ph.D.  Illinois Institute of Technology. 2014: 156 pages; 3581738.
29.
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.
30.
Variable selection for models with missing data
by Garcia, Ramon Israel, Ph.D.  The University of North Carolina at Chapel Hill. 2009: 116 pages; 3387975.
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