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1.
User retention and classification in a mobile gaming environment
by Ruffin, Michael, M.S.  California State University, Long Beach. 2014: 52 pages; 1527021.
2.
Automatic Shape-Constrained Non-Parametric Regression
by Gao, Zhikun, Ph.D.  The George Washington University. 2019: 173 pages; 13813788.
3.
A comparison of parametric and non-parametric methods for detecting fraudulent automobile insurance claims
by Ceglia, Cesarina, M.S.  California State University, Long Beach. 2016: 69 pages; 10147317.
4.
Missing data in non-parametric tests of correlated data
by Howard, Annie Green, Ph.D.  The University of North Carolina at Chapel Hill. 2012: 165 pages; 3512639.
5.
Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
6.
A multiscale, geometric algorithm for non-parametric data exploration with an application to genomic data
by McQuown, Joseph, Ph.D.  State University of New York at Stony Brook. 2007: 105 pages; 3337616.
8.
Firmware and classification algorithm development for vehicle classification
by Ravindra, Dilip, M.S.  California State University, Long Beach. 2015: 37 pages; 1603749.
11.
Robust Classification of Emotion in Human Speech Using Spectrogram Features
by Guven, Erhan, Ph.D.  The George Washington University. 2012: 133 pages; 3502353.
12.
An investigation of data privacy and utility using machine learning as a gauge
by Mivule, Kato, D.Sc.  Bowie State University. 2014: 262 pages; 3619387.
14.
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.
15.
Modular Bayesian filters
by Edgington, Padraic D., Ph.D.  University of Louisiana at Lafayette. 2015: 366 pages; 3712276.
16.
Selected Topics on Statistical Methods for Three and Multiple Class Diagnostic Studies
by Dong, Tuochuan, Ph.D.  State University of New York at Buffalo. 2014: 149 pages; 3629710.
18.
Delivering Program Efficiency to Aerospace Testing Using Designed Experiments
by Fiorenza, Paul R., D.Engr.  The George Washington University. 2018: 126 pages; 10928677.
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21.
In-Node Vehicle Classification and Identification
by Bavkar, Indraneel N., M.S.  California State University, Long Beach. 2017: 50 pages; 10639676.
23.
Effects of Qualitative Factor and Weight Assignment In Multi-criteria Inventory Ranking Method
by K. C., Manish, M.S.  University of Louisiana at Lafayette. 2014: 83 pages; 1592388.
25.
Classification accuracy of logistic regression models under misspecifications
by Zhang, Enhan, Ph.D.  New York University. 2014: 137 pages; 3635317.
26.
Roughened Random Forests for Binary Classification
by Xiong, Kuangnan, Ph.D.  State University of New York at Albany. 2014: 136 pages; 3624962.
27.
Precise Vehicle Classification Using a Quarter Sized Sensing System
by Patel, Kuntal G., M.S.  California State University, Long Beach. 2017: 82 pages; 10263671.
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