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A Quantile Regression Approach to Evaluate Factors Influencing Residential Indoor Radon Concentration

机译:分位数回归法评估影响住宅室内Rad浓度的因素

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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 autore-gression approach.
机译:室内ra的浓度取决于建筑特性,例如建筑材料,通风和供水。在本文中,提出了一种分位数回归方法来评估一些可能影响室内buildings浓度的建筑因素的影响。已发现许多考虑因素,例如土壤连接,建筑的年龄和是一户家庭的建筑,在统计学上具有显着影响;但是,在室内ra浓度的整个支持范围内,这远非恒定。使用建筑物位置的高度作为替代变量,还发现了由于地质和地球物理原因造成的潜在影响。此外,通过空间自回归方法可以检测到明显的局部空间效应。

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