Simultaneous equations, error-in-variable models, and model integration in systems ecology

By Shouzheng Tang, Yong Li, Yonghe Wang. 2001

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Confidence regions of estimated parameters for ecological systems (2003, methodology): “Use of linear theory to compute an approximation of the covariance matrix was made by Ennola et al. (1998) in the contest of Extended Kalman Filter identification of zooplankton populations and more recently by Tang et al. (2001) and Tang and Wang (2002), who used the linear estimation theory as a”
Developing Two Additive Biomass Equations for Three Coniferous Plantation Species in Northeast China (2016, methodology): “To achieve the additivity for a system of biomass equations, different model parameter estimation methods have been suggested for both linear and nonlinear biomass models [10,34–36].”
A compatible system of biomass equations for three conifer species in Northeast, China (2014, methodology): “For nonlinear biomass models, the parameter estimation models include: minimizing loss function (MLF) (Reed and Green, 1985), generalized method of moments (GMM) (Greene, 1999), maximum likelihood (ML) (Parresol, 2001), two-stage error-in-variable model (TSEM) (Tang et al., 2001; Tang and Wang, 2002”