Statistical and Econometric Methods for Transportation Data Analysis
Statistical and Econometric Methods for Transportation Data Analysis
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DOI：
10.1201/9781420082869
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发表时间：
2010-12
期刊：
影响因子：
--
通讯作者：
S. Washington;M. Karlaftis;F. Mannering
中科院分区：
文献类型：
--
作者：
S. Washington;M. Karlaftis;F. Mannering
本书现已推出第二版，介绍了交通数据分析中常用的工具。文本的第一部分提供了统计基础知识，而第二部分则介绍了连续因变量模型。第三部分重点关注计数和离散因变量模型，新增有关混合 Logit 模型、逻辑回归和有序概率模型的章节。最后一节提供了贝叶斯统计建模的更多内容，包括贝叶斯推理和马尔可夫链蒙特卡罗方法。数据集可在线获取，可与所讨论的建模技术一起使用。
Now in its second edition, this book describes tools that are commonly used in transportation data analysis. The first part of the text provides statistical fundamentals while the second part presents continuous dependent variable models. With a focus on count and discrete dependent variable models, the third part features new chapters on mixed logit models, logistic regression, and ordered probability models. The last section provides additional coverage of Bayesian statistical modeling, including Bayesian inference and Markov chain Monte Carlo methods. Data sets are available online to use with the modeling techniques discussed.