Cite
Maximum likelihood estimation of nonlinear mixed-effects models with crossed random effects by combining first-order conditional linearization and sequential quadratic programming.
MLA
Fu, Liyong, et al. “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, vol. 12, no. 5, July 2019, p. N.PAG. EBSCOhost, https://doi.org/10.1142/S1793524519500402.
APA
Fu, L., Wang, M., Wang, Z., Song, X., & Tang, S. (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(5), N.PAG. https://doi.org/10.1142/S1793524519500402
Chicago
Fu, Liyong, Mingliang Wang, Zuoheng Wang, Xinyu Song, and Shouzheng Tang. 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 (5): N.PAG. doi:10.1142/S1793524519500402.