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241.
Factor models: Testing and forecasting
by Yao, Jiawei, Ph.D.  Princeton University. 2015: 114 pages; 3682786.
242.
Interactive Learning for Sequential Decisions and Predictions
by Ross, Stephane, Ph.D.  Carnegie Mellon University. 2013: 294 pages; 3575525.
243.
Understanding the Deforestation in the Amazon Using Semiparametric Methods with Group Effects
by Souza Rodrigues, Eduardo Augusto de, Ph.D.  Yale University. 2012: 248 pages; 3525379.
244.
Detection of low rank signals in noise and fast correlation mining with applications to large biological data
by Shabalin, Andrey A., Ph.D.  The University of North Carolina at Chapel Hill. 2010: 139 pages; 3418746.
246.
Simulation, kriging, and visualization of circular-spatial data
by Morphet, William J., Ph.D.  Utah State University. 2009: 391 pages; 3359875.
247.
Testing for differentially functioning indicators using mixtures of confirmatory factor analysis models
by Mann, Heather Marie, Ph.D.  University of Maryland, College Park. 2009: 149 pages; 3359405.
248.
Estimability of Time-Varying Natural Mortality in Groundfishes: Covariates and Hierarchical Models
by Ganz, Philip D., M.S.  University of Alaska Fairbanks. 2017: 62 pages; 10603964.
249.
Robust network inference with multivariate t-distributions
by Finegold, Michael A., Ph.D.  The University of Chicago. 2010: 94 pages; 3419771.
250.
Preprocessing and barcoding of data from a single microarray
by McCall, Matthew N., Ph.D.  The Johns Hopkins University. 2010: 108 pages; 3410198.
251.
Classification of gastrointestinal bleeding data
by Chu, Adrienne Michelle, Ph.D.  State University of New York at Stony Brook. 2009: 128 pages; 3393643.
252.
A Local Limit Theorem for Linear Random Fields and Shannon Entropy Estimation for Linear Processes
by Fortune, Timothy W., Ph.D.  The University of Mississippi. 2020: 87 pages; 28087868.
253.
Low-Dimensional Representations for Uncertainty Quantification and Data-Driven Modeling
by Diaz, P. M., Ph.D.  University of Colorado at Boulder. 2020: 174 pages; 27837909.
254.
Statistical Analysis of Mortgage Fundings Based on Data Collected from a Mortgage Lending Institution
by Drury, Steven Gregory, M.S.  California State University, Long Beach. 2018: 149 pages; 10825922.
255.
Nonlinearity Detection Using Penalization-Based Principle
by Cong, Jie, Ph.D.  The George Washington University. 2018: 113 pages; 10927993.
256.
Model Based Clustering Algorithms with Applications
by Wei, Wutao, Ph.D.  Purdue University. 2018: 124 pages; 10830711.
257.
Hierarchical Bayesian Model for AK Composite Estimators in the Current Population Survey (CPS)
by Li, Yuan, Ph.D.  The George Washington University. 2018: 137 pages; 10748002.
258.
Using Machine Learning Methods to Predict NFL Victors
by Urista Benitez, Octavio Misael, M.S.  California State University, Long Beach. 2017: 88 pages; 10606129.
259.
Determination of Default Probability in Auto Finance through Predictive Analytics
by Pham, Huy D., M.S.  California State University, Long Beach. 2017: 69 pages; 10603734.
260.
Cure Rate Models with Nonparametric Form of Covariate Effects
by Chen, Tianlei, Ph.D.  Virginia Polytechnic Institute and State University. 2015: 105 pages; 10647357.
261.
Hurst parameter estimation of a discretely sampled ito integral with fractional Brownian motion driven integrand
by Flynn, Christopher R., Ph.D.  Stevens Institute of Technology. 2015: 294 pages; 10113763.
262.
263.
A general cause based methodology for analysis of dependent failures in system risk and reliability assessments
by O'Connor, Andrew N., Ph.D.  University of Maryland, College Park. 2013: 402 pages; 3587283.
264.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
265.
Generalized fiducial inference for mixed linear models
by Cisewski, Jessica, Ph.D.  The University of North Carolina at Chapel Hill. 2012: 151 pages; 3512608.
266.
A proposed epithermal model for the high grade district, California
by Feinstein, Michael Nicholas, Ph.D.  The University of Texas at El Paso. 2011: 298 pages; 3489979.
267.
268.
Predicting Four-Year Graduation: A Sequential Modeling Approach
by Sims, Michael S., M.S.  California State University, Long Beach. 2018: 83 pages; 10841337.
269.
Statistical Support Algorithms for Clinical Decisions and Prevention of Genetic-related Heart Disease
by Sotero, Charity Faith Gallemit, M.S.  California State University, Long Beach. 2018: 80 pages; 10751893.
270.
Improving Identification of Subtle Changes in Wide-Area Sensing through Dynamic Zoom
by Green, Michael A., M.S.  Delaware State University. 2018: 60 pages; 10794023.
241 - 270 of 40028 displayed.
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