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1.
Residual-based Discretization Error Estimation for Computational Fluid Dynamics
by Phillips, Tyrone S., Ph.D.  Virginia Polytechnic Institute and State University. 2014: 149 pages; 10596861.
2.
An examination of sources of error in exit polls: Nonresponse and measurement error
by Bautista, Rene, Ph.D.  The University of Nebraska - Lincoln. 2015: 289 pages; 3715450.
3.
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.
8.
Maxwell's Equations and Yang-Mills Equations in Complex Variables: New Perspectives
by Munshi, Sachin, Ph.D.  State University of New York at Albany. 2020: 76 pages; 27960465.
9.
Inertial Navigation Employing a Common Frame Error Definition
by Whittaker, Matthew P., Ph.D.  State University of New York at Buffalo. 2019: 329 pages; 13425252.
10.
Network-structured error flattening for power grids and other real-world networks
by Ponce, Colin Vincent, Ph.D.  Cornell University. 2016: 168 pages; 10183851.
11.
Hölder regularity of solutions of generalized p-Laplacian type parabolic equations
by Hwang, Sukjung, Ph.D.  Iowa State University. 2012: 120 pages; 3539508.
13.
An Examination of Adult Attachment and Liver Transplant Success
by Rao, James, Ph.D.  Institute for Clinical Social Work (Chicago). 2017: 226 pages; 10751459.
14.
Inverse circular regression with possibly asymmetric error distribution
by Kim, Sungsu, Ph.D.  University of California, Riverside. 2009: 122 pages; 3374428.
15.
Numerical studies on the Klein-Gordon-Schrodinger equations in the singular limit regime
by Mei, Hong, M.S.  National University of Singapore (Singapore). 2015: 95 pages; 10006015.
17.
A New Finite Difference Time Domain Method to Solve Maxwell's Equations
by Meagher, Timothy P., Ph.D.  Portland State University. 2018: 71 pages; 10812662.
18.
Conditional well-posedness and error bounds for the groundwater inverse problem
by LaRussa, Mary Antoinette, Ph.D.  The University of Alabama at Birmingham. 2010: 443 pages; 3438574.
19.
20.
Lattice-Boltzmann Models for High-Order Partial Differential Equations
by Otomo, Hiroshi, Ph.D.  Tufts University. 2019: 124 pages; 13814332.
21.
Testing the Efficacy of Empirical Equations for Calculating the Effective Impervious Area in Southern California
by Mroczek, Michael D., M.A.  California State University, Long Beach. 2018: 83 pages; 10840356.
22.
Explaining The Physics Behind Regional Peak Flow Equations Using The Scaling Theory of Floods and River Network Descriptors
by Perez Mesa, Gabriel Jaime, Ph.D.  The University of Iowa. 2019: 258 pages; 13904554.
23.
Working correlation selection in generalized estimating equations
by Jang, Mi Jin, Ph.D.  The University of Iowa. 2011: 258 pages; 3494048.
25.
Sparse Regularization for Inverse Problems Governed by Evolution Equations
by Humber, Cary Ross, Ph.D.  North Carolina State University. 2011: 127 pages; 3463778.
26.
An Assessment of State Equations of Air for Modeling a Blast Load Simulator
by Emmanuelli, Gustavo, M.S.  Mississippi State University. 2018: 142 pages; 10979719.
27.
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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29.
On Multigrid and H-Matrix Methods for Partial Integro-Differential Equations
by Gathungu, Duncan Kioi, Ph.D.  Bayerische Julius-Maximilians-Universitaet Wuerzburg (Germany). 2017: 129 pages; 10778637.
30.
Identification of Coefficients in Reaction-Diffusion Equations
by Yu, Weiming, Ph.D.  University of Cincinnati. 2004: 93 pages; 10857158.
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