☰

Mingliang Wang, Ph.D. - Publications

Affiliations: 
2011 Graduate School - New Brunswick Rutgers University, New Brunswick, New Brunswick, NJ, United States 
Area:
Computer Science, Computer Engineering
Tree Info Similar researchers PubMed Report error

8 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Fu L, Wang M, Wang Z, Song X, Tang S. 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. DOI: 10.1142/S1793524519500402  0.304
2014 Wang M, Kane MB, Borders BE, Zhao D. Direct Variance-Covariance Modeling as an Alternative to the Traditional Guide Curve Approach for Prediction of Dominant Heights Forest Science. 60: 652-662. DOI: 10.5849/Forsci.13-019  0.324
2014 Fu L, Wang M, Lei Y, Tang S. Parameter estimation of two-level nonlinear mixed effects models using first order conditional linearization and the EM algorithm Computational Statistics & Data Analysis. 69: 173-183. DOI: 10.1016/J.Csda.2013.05.026  0.301
2010 Wang M, Upadhyay A, Zhang L. Trivariate distribution modeling of tree diameter, height, and volume. Forest Science. 56: 290-300. DOI: 10.1093/Forestscience/56.3.290  0.331
2008 Wang M, Rennolls K, Tang S. Bivariate Distribution Modeling of Tree Diameters and Heights: Dependency Modeling Using Copulas Forest Science. 54: 284-293. DOI: 10.1093/Forestscience/54.3.284  0.317
2008 Wang M, Borders BE, Zhao D. 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. DOI: 10.1016/J.Foreco.2008.01.030  0.311
2007 Wang M, Rennolls K. Bivariate distribution modeling with tree diameter and height data Forest Science. 53: 16-24. DOI: 10.1093/Forestscience/53.1.16  0.322
2005 Rennolls K, Wang M. A new parameterization of Johnson's SB distribution with application to fitting forest tree diameter data Canadian Journal of Forest Research. 35: 575-579. DOI: 10.1139/X05-006  0.317
Show low-probability matches.