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  • In this paper,we will deal with interesting example of natural risk modeling - namely of indoor radon concentration. We will illustrate, how the traditional view based on fixed (i.e., time-invariant) coefficient models can be misleading. Then we formulate a nonparametric regression dynamic model as a doable alternative. Situation is not entirely standard here, as the smoothed and weight-giving variables are different. We illustrate on data coming from a rare intensive measurement campaign in an occupied house with simultaneous measurements taken in different rooms. We also illustrate how even such a simple model can produce behavior that throws some light on radon experts' discussions about natural radon concentration circadial movement phase. This is because the model acts as a linear but time-varying filter that can change not only amplitude but also phase between different rooms of the same house, suggesting that there might not be a universal phase of (e.g., daily) radon variation.
  • In this paper,we will deal with interesting example of natural risk modeling - namely of indoor radon concentration. We will illustrate, how the traditional view based on fixed (i.e., time-invariant) coefficient models can be misleading. Then we formulate a nonparametric regression dynamic model as a doable alternative. Situation is not entirely standard here, as the smoothed and weight-giving variables are different. We illustrate on data coming from a rare intensive measurement campaign in an occupied house with simultaneous measurements taken in different rooms. We also illustrate how even such a simple model can produce behavior that throws some light on radon experts' discussions about natural radon concentration circadial movement phase. This is because the model acts as a linear but time-varying filter that can change not only amplitude but also phase between different rooms of the same house, suggesting that there might not be a universal phase of (e.g., daily) radon variation. (en)
Title
  • Dynamical Model for Indoor Radon Concentration Monitoring
  • Dynamical Model for Indoor Radon Concentration Monitoring (en)
skos:prefLabel
  • Dynamical Model for Indoor Radon Concentration Monitoring
  • Dynamical Model for Indoor Radon Concentration Monitoring (en)
skos:notation
  • RIV/67985807:_____/09:00323999!RIV10-AV0-67985807
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(JC_11/2006), Z(AV0Z10300504)
http://linked.open...iv/cisloPeriodika
  • 6
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 311660
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/09:00323999
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • non-parametric regression; dynamic modeling; time-varying coefficients (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [614B7ADA2A31]
http://linked.open...i/riv/nazevZdroje
  • Environmetrics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 20
http://linked.open...iv/tvurceVysledku
  • Brabec, Marek
  • Jílek, K.
http://linked.open...ain/vavai/riv/wos
  • 000271150100010
http://linked.open...n/vavai/riv/zamer
issn
  • 1180-4009
number of pages
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