Simplified Radon Entry Rate Estimation Methodology from Tracer and Radon Concentrations Based on Functional Data Analysis Approach. Chapter 8
Identifikátory výsledku
Kód výsledku v IS VaVaI
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Simplified Radon Entry Rate Estimation Methodology from Tracer and Radon Concentrations Based on Functional Data Analysis Approach. Chapter 8
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Simplified Radon Entry Rate Estimation Methodology from Tracer and Radon Concentrations Based on Functional Data Analysis Approach. Chapter 8
Popis výsledku anglicky
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.
Klasifikace
Druh
C - Kapitola v odborné knize
CEP obor
BB - Aplikovaná statistika, operační výzkum
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
Z - Vyzkumny zamer (s odkazem do CEZ)
Ostatní
Rok uplatnění
2010
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název knihy nebo sborníku
Horizons in World Physics
ISBN
978-1-61728-995-8
Počet stran výsledku
19
Strana od-do
187-205
Počet stran knihy
463
Název nakladatele
Nova Science Publishers
Místo vydání
Hauppauge
Kód UT WoS kapitoly
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