Measuring Goodness of Fit for the Double‐Bounded Logit Model
指出传统拟合优度测量方法不适用于双边界Logit模型，并提出一种名为“顺序分类程序”的替代方法，通过实证例子展示其特点。
Abstract The traditional approaches of measuring goodness of fit are shown to be inappropriate in the case of the double‐bounded logit model. An alternate approach called the “sequential classification procedure” is presented as a possible alternative to the standard tests. The double‐bounded logit model is reviewed along with the standard goodness‐of‐fit measures. The sequential classification procedure and its features are presented in the context of an empirical example.