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Causal Inference in Econometrics - Studies in Computational Intelligence 1st ed. 2016 edition
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Causal Inference in Econometrics - Studies in Computational Intelligence
This bookis devoted to the analysis of causal inference which is one of the most difficult tasks in dataanalysis: when two phenomena are observed to be related, it is often difficultto decide whether one of them causally influences the other one, or whetherthese two phenomena have a common cause.
638 pages, 91 black & white illustrations, 15 colour illustrations, biography
| Medien | Bücher Gebundenes Buch (Buch mit hartem Rücken und steifem Einband) |
| Erscheinungsdatum | 6. Januar 2016 |
| Ursprünglich erschienen | 2015 |
| ISBN13 | 9783319272832 |
| Verlag | Springer International Publishing AG |
| Seitenanzahl | 638 |
| Maße | 155 × 235 × 35 mm · 1,08 kg |
| Sprache | Deutsch |
| Redakteur | Huynh, Van-Nam |
| Redakteur | Kreinovich, Vladik |
| Redakteur | Sriboonchitta, Songsak |
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