摘要
巢式Logit模型是在一般Logit模型基础上的一种改进模型,它考虑了各选择枝之间的相关性,对具有相似性的各选择枝进行了分类,因此该模型更接近实际情况,但同时也使得模型及其算法变得复杂,难以得到广泛采用。通过分析这两种模型的内在关系,提出了一种求解巢式Logit模型的方法,该方法直观,程序化强,便于应用;并通过示例说明了该方法的计算过程。
The Nested Logit model（ NL model） is a improvement model based on the Multinomial Logit model（MNL）, it takes the relevance among all the alternatives into account, and classifies the similar alternatives, so that this model is more practical, which at the same time makes the model and algorithm complex and difficult to be widely used. Through the analysis of the internal relation between the two models, this paper proposes a method of solving nested Logit model. This method is direct, easy to operate. Also It illustrates its calculation process with an example.
出处
《山东交通学院学报》
CAS
2005年第4期28-31,共4页
Journal of Shandong Jiaotong University
