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1.
Variance function estimation in nonparametric regression model
by Wang, Lie, Ph.D.  University of Pennsylvania. 2008: 77 pages; 3328698.
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Parameter estimation in distributed sensor networks and CFO estimation in OFDM systems
by Malipatil, Amaresh, Ph.D.  University of Notre Dame. 2014: 126 pages; 3648264.
6.
Large-Scale, Low-Latency State Estimation Of Cyberphysical Systems With An Application To Traffic Estimation
by Hunter, Timothy Jason, Ph.D.  University of California, Berkeley. 2014: 176 pages; 3686329.
7.
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.
8.
Robust Light Transport Simulation using Progressive Density Estimation
by Hachisuka, Toshiya, Ph.D.  University of California, San Diego. 2011: 209 pages; 3473619.
9.
Communication and estimation in noisy networks
by Vedantam, Satish, Ph.D.  University of Southern California. 2009: 168 pages; 3355383.
10.
Test for infinite variance in stock returns
by Yan, Xian Ning, M.Sc.  Singapore Management University (Singapore). 2009: 51 pages; 1478881.
11.
Bounding estimation integrity risk for linear systems with structured stochastic modeling uncertainty
by Langel, Steven Edward, Ph.D.  Illinois Institute of Technology. 2014: 156 pages; 3581738.
12.
Small Area Estimation in a Survey of Governments
by Dumbacher, Brian Arthur, Ph.D.  The George Washington University. 2016: 130 pages; 10075469.
13.
Collaborative Targeted Maximum Likelihood Estimation
by Gruber, Susan, Ph.D.  University of California, Berkeley. 2011: 160 pages; 3499349.
14.
Treatment of influential observations in the current employment statistics survey
by Gershunskaya, Julie Borisovna, Ph.D.  University of Maryland, College Park. 2011: 169 pages; 3495380.
15.
Optimizing symbol timing, frequency spacing, and SNR estimation for communication systems
by Das, Aniruddha, Ph.D.  University of California, San Diego. 2013: 196 pages; 3567533.
16.
SNR estimation and jamming detection techniques using wavelets
by Quiros, Paula Quintana, M.S.  California State University, Long Beach. 2014: 125 pages; 1569590.
17.
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.
19.
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.
21.
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.
22.
Change -point distribution estimation in animal learning experiments
by Li, Xiaodong, Ph.D.  Columbia University. 2010: 127 pages; 3400635.
25.
A hybrid approach to expert and model based effort estimation
by Baker, Daniel Ryan, M.S.C.S.  West Virginia University. 2007: 129 pages; 1451942.
26.
The effects of measurement non -invariance on parameter estimation in latent growth models
by Wirth, Robert J., Ph.D.  The University of North Carolina at Chapel Hill. 2008: 181 pages; 3331053.
28.
Robust Model Estimation Methods For Information Retrieval
by Collins-Thompson, Kevyn, Ph.D.  Carnegie Mellon University. 2008: 220 pages; 3528730.
29.
Reliability estimation and optimization incorporating statistical uncertainty for multi-state systems
by Wang, Yong, Ph.D.  Huazhong (Central China) University of Science and Technology (People's Republic of China). 2010: 151 pages; 3435851.
30.
Essays on Portfolio Theory and Applications
by Jin, Yong, Ph.D.  University of Florida. 2016: 92 pages; 10679132.
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