Judging Inference Adequacy in Logistic Regression
指出基于信息矩阵的逻辑回归推断可能效果不佳，通过两个置信区域例子说明问题，并提出一种判断似然曲面二次近似充分性的度量方法。
Inference for logistic regression based on the information matrix may be poor. This is noted in two examples in which confidence regions are examined. A measure to detect such inadequacies is presented; it judges the quadratic approximation to the likelihood surface, which justifies the usual procedure.