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
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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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
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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
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