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OverviewThis 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. Full Product DetailsAuthor: Van-Nam Huynh , Vladik Kreinovich , Songsak SriboonchittaPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: Softcover reprint of the original 1st ed. 2016 Volume: 622 Dimensions: Width: 15.50cm , Height: 3.30cm , Length: 23.50cm Weight: 0.985kg ISBN: 9783319801087ISBN 10: 3319801082 Pages: 638 Publication Date: 30 March 2018 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsPart I Fundamental Theory.- Part II Applications.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |