Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

Factor analysis approach to classify COVID-19 datasets in several regions

dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorBand, Shahab S.
dc.contributor.authorMosavi, Amir
dc.contributor.authorID56389tr_TR
dc.date.accessioned2022-04-22T12:51:11Z
dc.date.available2022-04-22T12:51:11Z
dc.date.issued2021
dc.departmentÇankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümüen_US
dc.description.abstractThe aim of this research is to investigate the relationships between the counts of cases with Covid-19 and the deaths due to it in seven countries that are severely affected from this pandemic disease. First, the Pearson's correlation is used to determine the relationships among these countries. Then, the factor analysis is applied to categorize these countries based on their relationships. © 2021 The Authorsen_US
dc.description.publishedMonth6
dc.identifier.citationMahmoudi, Mohammad Reza...et al. (2021). "Factor analysis approach to classify COVID-19 datasets in several regions", Results in Physics, Vol. 25.en_US
dc.identifier.doi10.1016/j.rinp.2021.104071
dc.identifier.issn2211-3797
dc.identifier.urihttps://hdl.handle.net/20.500.12416/5436
dc.identifier.volume25en_US
dc.language.isoenen_US
dc.relation.ispartofResults in Physicsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCoronavirusesen_US
dc.subjectCorrelationen_US
dc.subjectCovid-19en_US
dc.subjectFactor Analysisen_US
dc.titleFactor analysis approach to classify COVID-19 datasets in several regionstr_TR
dc.titleFactor Analysis Approach To Classify Covid-19 Datasets in Several Regionsen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublicationf4fffe56-21da-4879-94f9-c55e12e4ff62
relation.isAuthorOfPublication.latestForDiscoveryf4fffe56-21da-4879-94f9-c55e12e4ff62

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Article.pdf
Size:
1.12 MB
Format:
Adobe Portable Document Format
Description:
Yayıncı sürümü

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: