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2.
Various Approaches on Parameter Estimation in Mixture and Non-mixture Cure Models
by Kutal, Durga Hari, Ph.D.  Florida Atlantic University. 2018: 95 pages; 10929031.
3.
Multivariate mixture models to describe longitudinal patterns of frailty in American seniors
by Connor, Jason Todd, Ph.D.  Carnegie Mellon University. 2006: 175 pages; 3275170.
4.
Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
5.
Analysis and application of lattice vector quantization using mixture models and bit-plane coding
by Patchoo, Wisarn, Ph.D.  Washington State University. 2011: 104 pages; 3479195.
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Evaluating shared-parameter mixture models for analyzing change in the presence of non-randomly missing data
by Gottfredson, Nisha C., Ph.D.  The University of North Carolina at Chapel Hill. 2011: 148 pages; 3477464.
9.
Adaptive estimation techniques for resident space object characterization
by LaPointe, Jamie, M.S.  The University of Arizona. 2016: 136 pages; 10250698.
10.
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.
11.
Models for understanding student thinking using data from complex computerized science tasks
by LaMar, Michelle Marie, Ph.D.  University of California, Berkeley. 2014: 93 pages; 3686374.
12.
Rutting Evaluation of Unmodified HMA, Polymer Modified SMA, and CTR Modified HMA and SMA Mixtures
by Omer, Srood, M.S.  Southern Illinois University at Edwardsville. 2014: 169 pages; 1572745.
13.
An empirical investigation of unscalable components in scaling models
by Braaten, Kristine N., Ph.D.  University of Maryland, College Park. 2009: 194 pages; 3359337.
14.
Identifiability of bivariate mixtures: An application to infant mortality models
by Frimpong, Eric Y., Ph.D.  State University of New York at Albany. 2008: 129 pages; 3348186.
17.
Cure Rate Models with Nonparametric Form of Covariate Effects
by Chen, Tianlei, Ph.D.  Virginia Polytechnic Institute and State University. 2015: 105 pages; 10647357.
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Integrating Exponential Dispersion Models to Latent Structures
by Basbug, Mehmet Emin, Ph.D.  Princeton University. 2017: 125 pages; 10254057.
22.
Structural equation models estimation methods
by Nguyen, Hien D., M.S.  California State University, Long Beach. 2015: 108 pages; 1602758.
23.
Computational Models for Auditory Scene Analysis
by Mobin, Shariq A., Ph.D.  University of California, Berkeley. 2019: 67 pages; 13885042.
24.
Beyond dynamic textures: A family of stochastic dynamical models for video with applications to computer vision
by Chan, Antoni Bert, Ph.D.  University of California, San Diego. 2008: 291 pages; 3331461.
25.
Bayesian mortgage default models
by Xu, Feng, Ph.D.  The George Washington University. 2008: 157 pages; 3316109.
26.
Generative Probabilistic Models for Analysis of Communication Event Data with Applications to Email Behavior
by Navaroli, Nicholas Martin, Ph.D.  University of California, Irvine. 2014: 249 pages; 3668831.
29.
Identification and mixture deconvolution of ancient and forensic DNA using population genomic data
by Vohr, Samuel H., Ph.D.  University of California, Santa Cruz. 2016: 125 pages; 10249290.
30.
Understanding the mechanism of panel attrition
by Lemay, Michael, Ph.D.  University of Maryland, College Park. 2009: 173 pages; 3372973.
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