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Nagy, G.
Petőné Csuka, Ildikó
2026-10-01T12:24:14Z
2026-10-01T12:24:14Z
2021
http://hdl.handle.net/20.500.14044/40619
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.hu_HU
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.hu_HU
dc.formatpdfhu_HU
enhu_HU
Using Sector Based Linear Regression in Epidemic Datahu_HU
Open accesshu_HU
Óbudai Egyetemhu_HU
2021. November 11.hu_HU
Székesfehérvárhu_HU
Alba Regia Műszaki Karhu_HU
Óbudai Egyetemhu_HU
Természettudományok - matematika- és számítástudományokhu_HU
sblrhu_HU
sector based linear regressionhu_HU
covid-19hu_HU
epidemic datahu_HU
robust regressionhu_HU
Konferenciaközleményhu_HU
AIS 2021 16th International Symposium on Applied Informatics and Related Areas Proceedingshu_HU
local.tempfieldCollectionsKönyvrészletekhu_HU
4.hu_HU
Kiadói változathu_HU
3 p.hu_HU
AIS 2021 16th International Symposium on Applied Informatics and Related Areashu_HU
978-963-449-263-4hu_HU
2021hu_HU
Óbudai Egyetemhu_HU
Székesfehérvárhu_HU


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