rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Causal Inference in Econometrics
  name:
    name part: Huynh, Van-Nam.
    role:
      role term: editor.
  name:
    name part: Kreinovich, Vladik.
    role:
      role term: editor.
  name:
    name part: Sriboonchitta, Songsak.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    edition: 1st ed. 2016.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 638 p. 106 illus., 15 illus. in color. online resource.
  abstract: 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.
  note: edited by Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta.
  subject:
    topic: Engineering
  subject:
    topic: Economics, Mathematical
  subject:
    topic: Computational intelligence
  subject:
    topic: Quality control
  subject:
    topic: Reliability
  subject:
    topic: Industrial safety
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Quantitative Finance
  subject:
    topic: Quality Control, Reliability, Safety and Risk
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 622
  identifier: 9783319272849
  identifier: http://dx.doi.org/10.1007/978-3-319-27284-9
  record info:
    record creation date: 151228
    record change date: 20151230022054.0
    record identifier: 978-3-319-27284-9