Mingliang Wang, Ph.D.
Affiliations: | 2011 | Graduate School - New Brunswick | Rutgers University, New Brunswick, New Brunswick, NJ, United States |
Area:
Computer Science, Computer EngineeringGoogle:
"Mingliang Wang"Parents
Sign in to add mentorManish Parashar | grad student | 2011 | Rutgers, New Brunswick | |
(Object-oriented stream programming using aspects: A high-productivity programming paradigm for hybrid platforms.) |
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Publications
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Fu L, Wang M, Wang Z, et al. (2019) Maximum likelihood estimation of nonlinear mixed-effects models with crossed random effects by combining first-order conditional linearization and sequential quadratic programming International Journal of Biomathematics. 12: 1950040 |
Wang M, Kane MB, Borders BE, et al. (2014) Direct Variance-Covariance Modeling as an Alternative to the Traditional Guide Curve Approach for Prediction of Dominant Heights Forest Science. 60: 652-662 |
Wang M, Upadhyay A, Zhang L. (2010) Trivariate distribution modeling of tree diameter, height, and volume. Forest Science. 56: 290-300 |
Wang M, Rennolls K, Tang S. (2008) Bivariate Distribution Modeling of Tree Diameters and Heights: Dependency Modeling Using Copulas Forest Science. 54: 284-293 |
Wang M, Borders BE, Zhao D. (2008) An empirical comparison of two subject-specific approaches to dominant heights modeling: The dummy variable method and the mixed model method Forest Ecology and Management. 255: 2659-2669 |
Wang M, Rennolls K. (2007) Bivariate distribution modeling with tree diameter and height data Forest Science. 53: 16-24 |
Rennolls K, Wang M. (2005) A new parameterization of Johnson's SB distribution with application to fitting forest tree diameter data Canadian Journal of Forest Research. 35: 575-579 |