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Causal Inference in Econometrics
Edited by Van-Nam Huynh, Edited by Vladik Kreinovich, Edited by Songsak Sriboonchitta
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normal price: R 6 877.95
Price: R 6 533.95
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| book description |
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.
| product details |
Normally shipped |
Publisher | Springer International Publishing AG
Published date | 30 Mar 2018
Language |
Format | Paperback / softback
Pages | 638
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-3198-0108-7
Readership Age |
BISAC | computers / artificial intelligence
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Normally shipped |
Readership Age |
Normal Price | R 8 772.95
Price | R 8 333.95
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