Appendix A. Further discussion on the theta-Ricker and generalized Beverton-Holt density-dependent models, a complete description of likelihood equations and methods of parameter estimation, elaboration on the simulation experiment, additional analyses of the Accipiter nisus data set, TRPN best-fit and ALT models for 25 additional time series from the GPDD, and a presentation of the joint profile likelihood surface of a Columba oenas data set for comparison with Bayesian posterior densities.
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Further discussion on the theta-Ricker and generalized Beverton-Holt density-dependent models, a complete description of likelihood equations and methods of parameter estimation, elaboration on the simulation experiment, additional analyses of the Accipiter nisus data set, TRPN best-fit and ALT models for 25 additional time series from the GPDD, and a presentation of the joint profile likelihood surface of a Columba oenas data set for comparison with Bayesian posterior densities.
针对θ-里克模型(theta-Ricker)与广义贝弗顿-霍尔特模型(generalized Beverton-Holt)两类密度依赖模型展开进一步研讨;完整阐述似然方程(likelihood equations)与参数估计方法(parameter estimation methods);详细说明模拟实验流程;对雀鹰(Accipiter nisus)数据集开展补充分析;针对全球种群动态数据库(GPDD)中额外25条时间序列,给出TRPN最优拟合模型与ALT模型;并展示欧鸽(Columba oenas)数据集的联合轮廓似然曲面,以用于与贝叶斯后验密度进行对比分析。
创建时间:
2016-08-05



