Comparison of multivariate classification and regression methods for the indoor radon measurements | Zendy

D. Maletić | Zendy; V. Udovičić | Zendy; R. Banjanac | Zendy; D. Joković | Zendy; A. Dragić | Zendy; Nikola Veselinović | Zendy; Jelena Filipović | Zendy

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Comparison of multivariate classification and regression methods for the indoor radon measurements

Author(s) -

D. Maletić,

V. Udovičić,

R. Banjanac,

D. Joković,

A. Dragić,

Nikola Veselinović,

Jelena Filipović

Publication year - 2014

Publication title -

nuclear technology and radiation protection

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.31

H-Index - 16

eISSN - 1452-8185

pISSN - 1451-3994

DOI - 10.2298/ntrp1401017m

Subject(s) - multivariate statistics , radon , multivariate analysis , environmental science , regression analysis , statistics , radon exposure , computer science , mathematics , physics , quantum mechanics

We present the results of a test usage of multivariate methods, as developed for data analysis in high-energy physics and implemented in the toolkit for multivariate analysis software package, in our analysis of the dependence of the variation of indoor radon concentration on climate variables. The method enables the investigation of the connections of the wide spectrum of climate variables with radon concentrations. We find that multivariate classification and regression methods work well, giving new information and indications, which may be helpful in further research of the variation of radon concentration in indoor spaces. The method may also lead to considerable prediction power of the variations of indoor radon concentrations based on the knowledge of climate variables only. [Projekat Ministarstva nauke Republike Srbije, br. III 43002 i br. OI171002

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