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1.
Parametric Functions for Conceptual and Feasibility Estimating in Public Highway Project Portfolios
by Blampied, Nigel Bryan, Ph.D.  University of California, Berkeley. 2018: 195 pages; 13423137.
2.
Pre-Design Methodology for Establishing Scope-Budget and Scope-Duration Alignment for Capital Projects
by Holmlin, Rex M., D.Engr.  The George Washington University. 2016: 86 pages; 10150265.
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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.
6.
Targeted Learning in Estimating Heterogeneous Effects and Transporting Direct and Indirect Effects
by Levy, Jonathan M., Ph.D.  University of California, Berkeley. 2019: 129 pages; 13865028.
8.
In vivo Biodistribution, Lung Targeting, and Parametric Modulation of a DNA-Based Drug Delivery System Addressed to ICAM-1
by Roki, NikÅ¡a, Ph.D.  University of Maryland, College Park. 2020: 255 pages; 27836312.
10.
Semiparametric Bayesian modeling of density dependence
by Sugeno, Masatoshi, Ph.D.  State University of New York at Stony Brook. 2012: 110 pages; 3517599.
12.
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.
13.
Estimating the Fiscal Impacts of the Homeland Security Grants on State and Local Public Safety Spending
by Kirschner, Charlotte L., Ph.D.  The George Washington University. 2012: 256 pages; 3474049.
15.
COSYSMO 3.0: An Extended, Unified Cost Estimating Model for Systems Engineering
by Alstad, James Patrick, Ph.D.  University of Southern California. 2018: 102 pages; 10981738.
16.
Costing for the Future: Exploring Cost Estimation with Unmanned Autonomous Systems
by Ryan, Thomas R., Jr., M.S.  The University of Arizona. 2015: 84 pages; 1589256.
17.
Bayesian methods for estimating ROC curves
by Zur, Richard Michael, Ph.D.  The University of Chicago. 2010: 194 pages; 3432839.
18.
Automatic Shape-Constrained Non-Parametric Regression
by Gao, Zhikun, Ph.D.  The George Washington University. 2019: 173 pages; 13813788.
19.
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.
20.
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.
21.
Nonlinearity Detection Using Penalization-Based Principle
by Cong, Jie, Ph.D.  The George Washington University. 2018: 113 pages; 10927993.
22.
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.
23.
Parametric Biogeography and the origins of diversity in Neotropical Freshwater fishes
by Tagliacollo, Victor Alberto, Ph.D.  University of Louisiana at Lafayette. 2015: 392 pages; 3718579.
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Collaborative Targeted Maximum Likelihood Estimation
by Gruber, Susan, Ph.D.  University of California, Berkeley. 2011: 160 pages; 3499349.
27.
Estimating the beliefs of economic agents
by Madeira, Carlos Rodrigues, Ph.D.  Northwestern University. 2009: 200 pages; 3386520.
28.
Orthogonal Frequency Division Multiplexing (OFDM) channel estimation using pilot based parametric scheme
by Rajanna, Sowmya, M.S.  California State University, Long Beach. 2016: 33 pages; 10011270.
29.
Parametric combustion modeling for ethanol-gasoline fuelled spark ignition engines
by Yeliana, Ph.D.  Michigan Technological University. 2010: 217 pages; 3439138.
30.
Robust Estimation of Parametric Models for Insurance Loss Data
by Poudyal, Chudamani, Ph.D.  The University of Wisconsin - Milwaukee. 2018: 127 pages; 10829498.
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