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4.
Meta-Analysis of Single-Case Data: A Monte Carlo Investigation of a Three Level Model
by Owens, Corina M., Ph.D.  University of South Florida. 2011: 219 pages; 3449468.
5.
Hierarchical image analysis and characterization of scaling effects in remote sensing
by Ducey, Craig David, M.S.  Portland State University. 2010: 79 pages; 1482417.
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Test for infinite variance in stock returns
by Yan, Xian Ning, M.Sc.  Singapore Management University (Singapore). 2009: 51 pages; 1478881.
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Construct relevant and irrelevant variables in math problem solving assessment
by Birk, Lisa E., D.Ed.  University of Oregon. 2013: 108 pages; 3589483.
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Multivariate analysis of proteomic data: Functional group analysis using a global test
by Fitzgerald-DeHoog, Lindsay M., M.S.  California State University, Long Beach. 2015: 135 pages; 1602759.
20.
Analysis of longitudinal latent-variables with two sources of measurement error
by Nussbaum, Amy Elizabeth, Ph.D.  Southern Methodist University. 2015: 185 pages; 3740030.
23.
A Comparison of Variance and Renyi's Entropy with Application to Machine Learning
by Peccarelli, Adric M., M.S.  Northern Illinois University. 2017: 38 pages; 10603911.
26.
Invariance principles in functional time series analysis with applications
by Rice, Gregory, Ph.D.  The University of Utah. 2015: 110 pages; 3746458.
27.
Extensions of nonparametric randomization-based analysis of covariance
by Hussey, Michael A., Dr.P.H.  The University of North Carolina at Chapel Hill. 2013: 127 pages; 3562748.
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Advanced Quadrature Selection for Monte Carlo Variance Reduction
by Rowland, Kelly L., Ph.D.  University of California, Berkeley. 2018: 152 pages; 10817512.
29.
The Split Analysis for Multiple-Reader Multiple-Case Split-Plot Studies
by Hsieh, Jui-Ying, M.S.  The George Washington University. 2018: 57 pages; 10813369.
30.
Investigation of the charge state distribution effects for protein analysis in novel ionization techniques
by Sardelis, Diana Lynn, Ph.D.  University of the Sciences in Philadelphia. 2013: 229 pages; 3586940.
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