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Multivariate methods for survey evaluation: A case study of Big Data and the New Digital Divide

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F19%3A00054154" target="_blank" >RIV/61384399:31140/19:00054154 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.atlantis-press.com/proceedings/amse-19/125919264" target="_blank" >https://www.atlantis-press.com/proceedings/amse-19/125919264</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multivariate methods for survey evaluation: A case study of Big Data and the New Digital Divide

  • Original language description

    Main topics of the document: multivariate methods; cluster analysis; factor analysis; survey; big data; new digital divide

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Applications of Mathematics and Statistics in Economics (AMSE 2019)

  • ISBN

    978-94-6252-804-8

  • ISSN

    2589-6644

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    62-69

  • Publisher name

    Atlantis Press

  • Place of publication

    Paříž

  • Event location

    Nižná

  • Event date

    Aug 28, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article