A Quantile Regression Approach to Evaluate Factors Influencing Residential Indoor Radon Concentration |
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Authors: | Riccardo Borgoni |
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Institution: | (1) Department of Statistics, University of Milano – Bicocca, Via Bicocca degli Arcimboldi 20121, Milan, Italy |
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Abstract: | Indoor radon concentrations depend on building characteristics such as building materials, ventilation and water supply. In
this paper, a quantile regression approach is proposed to evaluate the effect of some buildings factors potentially influencing
indoor radon concentration. Many of the considered factors, such as soil connection, age of construction and being a single
family building, are found to have a statistically significant effect; however, this is far from being constant across the
entire support of indoor radon concentration. A potential impact due to geological and geo-physical reasons is also found
using the altitude of building locations as a surrogate variable. In addition, a clear local spatial effect is detected by
a spatial autoregression approach. |
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Keywords: | |
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