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61.
Slope estimation in a parametric measurement error model: A simulation study
by Lu, Hui, M.S.  The University of Texas School of Public Health. 2011: 38 pages; 1502170.
62.
A Predictive Analysis Framework for Six Degrees of Freedom Vibration Qualification
by Rizzo, Davinia B., Ph.D.  Stevens Institute of Technology. 2017: 630 pages; 10606844.
63.
Near-optimality and robustness of greedy algorithms for Bayesian pool-based active learning
by Cuong, Nguyen Viet, Ph.D.  National University of Singapore (Singapore). 2015: 124 pages; 10006066.
64.
Structural condition scoring of buried sewer pipes for risk-based decision making
by Opila, Mary Catherine, Ph.D.  University of Delaware. 2011: 347 pages; 3473704.
65.
Uncertainty Aggregation in System Performance Assessment
by Nannapanemi, Saideep, Ph.D.  Vanderbilt University. 2017: 188 pages; 13835161.
66.
A method to assess dynamic responses in a crash simulation
by Hong, Seong Woo, Ph.D.  The George Washington University. 2011: 127 pages; 3453983.
67.
Statistical methods for research in healthcare quality and safety from observational data
by Myers, Jessica, Ph.D.  The Johns Hopkins University. 2010: 113 pages; 3428625.
68.
Hierarchical Bayes estimation and empirical best prediction of small-area proportions
by Liu, Benmei, Ph.D.  University of Maryland, College Park. 2009: 223 pages; 3359401.
69.
Quantum Bayesian networks with application to games displaying Parrondo's paradox
by Pejic, Michael, Ph.D.  University of California, Berkeley. 2014: 165 pages; 3685984.
70.
Incorporation of Decision and Game Theories in Early-Stage Complex Product Design to Model End-Use
by Mesmer, Bryan L., Ph.D.  State University of New York at Buffalo. 2012: 270 pages; 3541141.
71.
The Method of Batch Inference for Multivariate Diffusions
by Lysy, Martin, Ph.D.  Harvard University. 2012: 120 pages; 3495622.
72.
Social Network Analysis in an Extended Structural Equation Modeling Framework
by Liu, Haiyan, Ph.D.  University of Notre Dame. 2018: 168 pages; 13836262.
73.
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.
74.
A method for automatically generating rules for a requires-provides security model of a system
by Orvis, William Snow, M.S.  University of California, Davis. 2009: 109 pages; 1470280.
77.
A Die-level Adaptive Test Scheme for Real-time Test Reordering and Elimination
by Gotkhindikar, Kapil Ramesh, M.S.  Portland State University. 2012: 64 pages; 1515828.
78.
Econometric Modeling of City Population Growth in Developing Countries
by Kim, Donghwan, Ph.D.  State University of New York at Stony Brook. 2011: 125 pages; 3460590.
79.
80.
Analyzing comparative sequence data to understand genome function and evolution
by Prasad, Arjun B., Ph.D.  The George Washington University. 2010: 223 pages; 3389713.
81.
Reliability growth of multi-stage single shot systems
by Nicholls, Jennifer Lynne, Ph.D.  The George Washington University. 2011: 83 pages; 3448970.
82.
Bayesian Networks with an application to credit risk
by Kent, Geoffrey, M.S.  California State University, Long Beach. 2014: 173 pages; 1526920.
83.
Prediction and recommendation in online media
by Yin, Dawei, Ph.D.  Lehigh University. 2013: 256 pages; 3598939.
84.
Efficient Markov Chain Monte Carlo Methods
by Fang, Youhan, Ph.D.  Purdue University. 2018: 107 pages; 10809188.
85.
Prediction Methods for Semi-continuous Data with Applications in Climate Science
by Popuri, Sai Kumar, Ph.D.  University of Maryland, Baltimore County. 2017: 156 pages; 10683046.
86.
A Risk Analysis of the Molybdenum-99 Supply Chain Using Bayesian Networks
by Liang, Jeffrey Ryan, D.Engr.  The George Washington University. 2017: 119 pages; 10263578.
87.
Entanglement and information in algebraic quantum theories
by Valente, Giovanni, Ph.D.  University of Maryland, College Park. 2008: 274 pages; 3359430.
89.
Contributions to Statistical Testing, Prediction, and Modeling
by Pesko, John Carl, Ph.D.  The University of New Mexico. 2017: 136 pages; 10264281.
90.
Ensemble supervised and unsupervised learning with Kepler variable stars
by Bass, Gideon, Ph.D.  George Mason University. 2015: 120 pages; 10027479.
61 - 90 of 41845 displayed.
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