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214 open access dissertations and theses found for:
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121.
Applications of attrition models in the television industry
by Aclander, Jaime L.S., M.S.  California State University, Long Beach. 2014: 69 pages; 1526887.
122.
A Dynamic Competing Risk Model for Filtering Reliability and Tracking Survivability
by Martin, Owen S., Ph.D.  The George Washington University. 2012: 137 pages; 3490816.
123.
Heterogeneous Treatment Effect Estimation Using Machine Learning
by Kuenzel, Soeren R., Ph.D.  University of California, Berkeley. 2019: 177 pages; 13903254.
124.
Monte Carlo Methods for Optimizing Finance for Development
by BTCarpi, Carlos, M.S.  The George Washington University. 2018: 129 pages; 10931384.
125.
Robust Inference and Network Analysis for Non-Gaussian Gene-Expression Data
by Specht, Alicia T., Ph.D.  University of Notre Dame. 2017: 126 pages; 13836379.
126.
Ultraproducts and their applications
by Purcell, Amanda, M.A.  American University. 2013: 64 pages; 1549128.
127.
Contributions to Statistical Testing, Prediction, and Modeling
by Pesko, John Carl, Ph.D.  The University of New Mexico. 2017: 136 pages; 10264281.
128.
130.
General methods for adaptive control and estimation of false discovery rate
by Chen, Xiongzhi, Ph.D.  Purdue University. 2012: 149 pages; 3556181.
131.
Principles of Dynamics and Inference, with Applications to the Brain
by Weistuch, Corey, Ph.D.  State University of New York at Stony Brook. 2020: 89 pages; 28090345.
132.
Analysis of General Education Mathematics and Quantitative Reasoning Courses at California State University, Long Beach
by Miller, Kirsten Louise, M.S.  California State University, Long Beach. 2020: 188 pages; 28028351.
133.
An Immersed Boundary, Fourier Pseudospectral Method for Advection, Diffusion, and Reaction in Incompressible Flow
by Schiff, Joseph, M.S.  California State University, Long Beach. 2020: 71 pages; 27964525.
134.
Fused Lasso and Tensor Covariance Learning with Robust Estimation
by Kunz, Matthew Ross, Ph.D.  The Florida State University. 2018: 82 pages; 10973227.
135.
Survey design, sampling, and analysis with applications
by Tirres, Lizet, M.S.  California State University, Long Beach. 2016: 138 pages; 10131680.
136.
Nonparametric alternative to Poly-k test in animal tumorigenicity studies
by Dill, Kristina Dionne, M.S.  California State University, Long Beach. 2012: 89 pages; 1521617.
137.
Using Supervised Machine Learning for Early Lung Cancer Detection
by Vo, Jessica, M.S.  California State University, Long Beach. 2020: 76 pages; 27736286.
139.
Bayesian Modeling for fMRI Brain Activation and Connectivity
by Yu, Zhe, Ph.D.  University of California, Irvine. 2015: 155 pages; 3717133.
140.
Dynamic Documents for Data Analytic Science
by Becker, Gabriel, Ph.D.  University of California, Davis. 2014: 189 pages; 3685178.
141.
Statistical Methods in Measurement Error Correction for Brain Imaging Data Analysis
by Zhang, Mengru, Ph.D.  State University of New York at Stony Brook. 2018: 202 pages; 13424245.
142.
Generalized Phase Retrieval: Isometries in Vector Spaces
by Park, Josiah, M.A.  University of South Florida. 2016: 27 pages; 10103854.
143.
Estimation of severity distribution for hurricane losses in the United States: 1900-2005
by Yang, Fan, M.S.  California State University, Long Beach. 2016: 70 pages; 10004170.
144.
Sample size determination for a three-arm biosimilar trial
by Chang, Yu-Wei, Ph.D.  Temple University. 2014: 93 pages; 3671879.
145.
An Introduction to the Cox Proportional Hazards Model and Its Applications to Survival Analysis
by Thompson, Kristina, M.S.  Southern Illinois University at Edwardsville. 2014: 37 pages; 1571931.
146.
Nonparametric inferences for the hazard function with right truncated data
by Akcin, Haci Mustafa, Ph.D.  Georgia State University. 2013: 89 pages; 3562240.
147.
Robust computational tools for multiple testing with genetic association studies
by Welbourn, William L., Jr., Ph.D.  Utah State University. 2012: 326 pages; 3503198.
148.
Symmetric Dual-Wind Discontinuous Galerkin Methods for Elliptic Variational Inequalities
by Rapp, Aaron Frost, Ph.D.  The University of North Carolina at Greensboro. 2020: 209 pages; 28001615.
149.
Coarse Geometric Coherence
by Grossman, Jonathan L., Ph.D.  State University of New York at Albany. 2019: 136 pages; 13865190.
150.
Local spatial modeling using Geographically Weighted Regression (GWR)
by Wankie, Che, M.S.  California State University, Long Beach. 2013: 112 pages; 1523087.
121 - 150 of 214 displayed.
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