five

ModelSel_SWTH_2013_Dynamic

收藏
DataONE2016-09-23 更新2024-06-26 收录
下载链接:
https://search.dataone.org/view/null
下载链接
链接失效反馈
官方服务:
资源简介:
AIC model selection table and associated coefficients for Swainson’s thrush 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.

针对2013年斯温逊鸫(Swainson’s thrush)定殖与灭绝过程的动态模型,所构建的赤池信息准则(Akaike Information Criterion,AIC)模型选择表及其关联系数结果。模型系数的列名采用如下命名规范:系数项格式为「参数(协变量)」,标准误(standard error,SE)项格式为「SE参数(协变量)」。参数缩写规则如下:p代表探测概率(detection probability),ψ(psi)代表初始占据率(initial occupancy),col代表定殖/定居(colonization/settlement),ext代表灭绝/空置(extinction/vacancy)。Parameter(Int) 指代模型截距项。「nPars」表示模型中被估计的参数总数量。所有模型将依据其AIC得分进行排序,该得分用于衡量模型对数据的拟合优劣程度。ΔAIC(delta AIC)数值越低,代表模型拟合效果越好。在所有被检验的模型中,某一模型最优解释数据的概率由AIC权重(AICwt)体现。
创建时间:
2016-09-23
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作