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Using Sector Based Linear Regression in Epidemic Data

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http://hdl.handle.net/20.500.14044/40619
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  • Könyvrészletek [160]
Abstract
The statistical analysis and the machine learning are important tools of the research nowadays. In the last one and half year the importance of epidemic data and the analysis of this data has been increased as a result of the COVID-19 pandemic. This paper describes a research which uses Sector Based Linear Regression (SBLR), a robust linear regression for the analyzing and predicting with epidemic data.
 
The statistical analysis and the machine learning are important tools of the research nowadays. In the last one and half year the importance of epidemic data and the analysis of this data has been increased as a result of the COVID-19 pandemic. This paper describes a research which uses Sector Based Linear Regression (SBLR), a robust linear regression for the analyzing and predicting with epidemic data.
 
Title
Using Sector Based Linear Regression in Epidemic Data
xmlui.dri2xhtml.METS-1.0.item-description-titlenumber
4.
Author
Nagy, G.
xmlui.dri2xhtml.METS-1.0.item-contributor-editor
Petőné Csuka, Ildikó
xmlui.dri2xhtml.METS-1.0.item-date-issued
2021
xmlui.dri2xhtml.METS-1.0.item-rights-access
Open access
xmlui.dri2xhtml.METS-1.0.item-other-conferenceTitle
AIS 2021 16th International Symposium on Applied Informatics and Related Areas
xmlui.dri2xhtml.METS-1.0.item-other-conferenceDate
2021. November 11.
xmlui.dri2xhtml.METS-1.0.item-language
en
xmlui.dri2xhtml.METS-1.0.item-format-page
3 p.
xmlui.dri2xhtml.METS-1.0.item-subject-oszkar
sblr, sector based linear regression, covid-19, epidemic data, robust regression
xmlui.dri2xhtml.METS-1.0.item-description-version
Kiadói változat
xmlui.dri2xhtml.METS-1.0.item-other-containerTitle
AIS 2021 16th International Symposium on Applied Informatics and Related Areas Proceedings
xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalYear
2021
xmlui.dri2xhtml.METS-1.0.item-other-containerIdentifierIsbn
978-963-449-263-4
xmlui.dri2xhtml.METS-1.0.item-type-type
Konferenciaközlemény
xmlui.dri2xhtml.METS-1.0.item-subject-area
Természettudományok - matematika- és számítástudományok
xmlui.dri2xhtml.METS-1.0.item-publisher-university
Óbudai Egyetem
xmlui.dri2xhtml.METS-1.0.item-publisher-faculty
Alba Regia Műszaki Kar

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