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Simplified Radon Entry Rate Estimation Methodology from Tracer and Radon Concentrations Based on Functional Data Analysis Approach. Chapter 8

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    0346795 - UIVT-O 2012 RIV US eng M - Část monografie knihy
    Brabec, Marek - Jílek, K.
    Simplified Radon Entry Rate Estimation Methodology from Tracer and Radon Concentrations Based on Functional Data Analysis Approach. Chapter 8.
    Horizons in World Physics. Hauppauge: Nova Science Publishers, 2010 - (Reimer, A.), s. 187-205. 273. ISBN 978-1-61728-995-8
    Výzkumný záměr: CEZ:AV0Z10300504
    Klíčová slova: functional data analysis * spline smoothing * nonparametric regression * radon entry rate * air exchange rate
    Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum
    https://www.novapublishers.com/catalog/product_info.php?products_id=24580

    We present a methodology useful for estimation of radon entry rate (RER) in buildings. General RER estimation is complicated by the presence of air exchange rate, which acts as a nuisance parameter. Nevertheless, RER can be estimated under various circumstances. One such a situation occurs when, in addition to the time series of radon concentrations, time series of some tracer concentrations is available. Here, we will present a simpler but flexible alternative to Kalman filtering approach, based on functional data analysis (FDA), Ramsay, Silverman (1997) methodology. It is built on spline smoothing of radon and tracer concentrations, subsequent estimation of their time derivatives and finally on solution of the underlying system of differential equations. The methodology is presented first in generality, and then with respect to practical implementation and computation. Then it is illustrated on real data.
    Trvalý link: http://hdl.handle.net/11104/0187722
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