Percent of variable normal σ simulations for which AICc selected maximum likelihood (ML) estimation with beta or normal errors best or found no difference between the models (Same) from each simulation (k = 0.0002).

Percent of variable normal σ simulations for which AICc selected maximum likelihood (ML) estimation with beta or normal errors best or found no difference between the models (Same) from each simulation (k = 0.0002).针对每一次模拟实验（k = 0.0002），可变标准差σ的正态分布模拟实验中，经修正赤池信息准则（AICc）选择以贝塔分布误差或正态分布误差开展的最大似然（ML）估计为最优模型，或判定两类模型间无显著差异（下称“相同”）的模拟占比。