Record Display for the EPA National Library Catalog


Main Title Statistical Aspects of Autoregressive Models in the Assessment of Radon Mitigation.
Author Dunn, J. E. ; Henschel, D. B. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Air and Energy Engineering Research Lab. ;Arkansas Univ., Fayetteville.
Year Published 1987
Report Number EPA/600/D-87/085;
Stock Number PB87-174876
Additional Subjects Radon ; Residential buildings ; Mathematical models ; Regression analysis ; Time series analysis ; Air pollution control ; Indoor air pollution ; Scintillation counting
Library Call Number Additional Info Location Last
NTIS  PB87-174876 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 13p
The paper discusses statistical aspects of autoregressive models in the assessment of radon mitigation. Radon values, as reflected by hourly scintillation counts, seem dominated by major, pseudo-periodic, random fluctuations. The methodological paper reports a moderate degree of success in modeling these data using relatively simple autoregressive-moving average models in order to assess the effectiveness of radon mitigation techniques in existing housing. While accounting for the natural correlation of successive observations, familiar summary statistics such as steady state estimates, standard errors, confidence limits, and tests of hypothesis are produced. The Box-Jenkins approach is used throughout. In particular, intervention analysis provides an objective means of assessing the effectiveness of an active mitigation measure, such as fan off/on cycle. Occasionally, failure to declare a significant intervention has suggested a diagnosis of the data collection procedure.