Causal Inference in Econometrics (Paperback, Softcover reprint of the original 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 622
Release date:	March 2018
First published:	2016
Editors:	Van-Nam Huynh • Vladik Kreinovich • Songsak Sriboonchitta
Dimensions:	235 x 155 x 33mm (L x W x T)
Format:	Paperback
Pages:	638
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-80108-7
Categories:	Books > Science & Mathematics > Mathematics > Algebra > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Industrial quality control Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-80108-2
Barcode:	9783319801087

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!