Maximum likelihood estimates of parameters for constant-variance models of mussel dynamics.
收藏NIAID Data Ecosystem2026-03-07 收录
下载链接：
https://figshare.com/articles/dataset/_Maximum_likelihood_estimates_of_parameters_for_constant_variance_models_of_mussel_dynamics_/805914
下载链接
链接失效反馈官方服务：
资源简介：
*parameter fixed a priori.
–LL: Negative log likelihood of model.
k: Number of estimated parameters.
σ2est: Maximum likelihood estimated variance around the mean model.
AIC: Akaike Information Criterion value. The best supporting value has the lowest AIC.
ΔAIC: Difference between AIC of a candidate model and the best-supported model overall.
wi: The Akaike Weight of a model.
ER: The Evidence Ratio comparing the weight of the lowest AIC model to the weights of other models.
创建时间：
2013-09-23
