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图书名称：Causal Inference in Econometrics
作者：Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta
出版社：Springer
页数：626
出版时间：2016                     
语言：English
格式：mobi & epub
内容简介：
This book is devoted to the analysis of causal inference which  is one of the most difficult tasks in data analysis: when two phenomena are observed to be related, it is often difficult to decide whether one of them causally influences the other one, or whether these two phenomena have a common cause. This analysis is the main focus of this volume.
  
To get a good understanding of the causal inference, it is important to have models of economic phenomena which are as accurate as possible. Because of this need, this volume also contains papers that use non-traditional economic models, such as fuzzy models and models obtained by using neural networks and data mining techniques. It also contains papers that apply different econometric models to analyze real-life economic dependencies.

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关键词：econometrics Econometric Inference metrics Kindle action

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牛尾巴 发表于 2016-8-15 18:24
如果喜欢该文档，欢迎订阅【kindle电子书】文库，https://bbs.pinggu.org/forum.php?mod=collection&action= ...

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