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Volumn 37, Issue 3, 1999, Pages 181-194

Predicting New Hampshire indoor radon concentrations from geologic information and other covariates

Author keywords

Bayesian statistics; Radon

Indexed keywords

GEOLOGY; INDOOR RADON; RADON;

EID: 0032586182     PISSN: 09430105     EISSN: None     Source Type: Journal    
DOI: 10.1007/s002540050376     Document Type: Article
Times cited : (44)

References (16)
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  • 5
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  • 6
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  • 7
    • 0031282368 scopus 로고    scopus 로고
    • Variable spacial and seasonal hazards of airborne radon
    • MOSE DG, MUSHRUSH GW (1997) Variable spacial and seasonal hazards of airborne radon. Health Physics 31:3523-3530
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    • Mose, D.G.1    Mushrush, G.W.2
  • 9
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    • Distribution of airborne radon-222 concentrations in US Homes
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    • (1986) Science , vol.234 , pp. 992-997
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  • 13
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    • Predictions and maps of county mean indoor radon concentrations in the Mid-Atlantic States
    • PRICE PN (1996) Predictions and maps of county mean indoor radon concentrations in the Mid-Atlantic States. Health Physics 72:893-906.
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    • Joint analysis of long-and short-term radon monitoring data from the Northern US
    • PRICE PN, NERO AV (1996) Joint analysis of long-and short-term radon monitoring data from the Northern US. Environ Int 22:S699-S714
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    • Price, P.N.1    Nero, A.V.2
  • 15
    • 0029906242 scopus 로고    scopus 로고
    • Bayesian prediction of mean indoor radon concentrations for Minnesota counties
    • PRICE PN, NERO AV, GELMAN A (1996) Bayesian prediction of mean indoor radon concentrations for Minnesota counties. Health Phys 71:922-936
    • (1996) Health Phys , vol.71 , pp. 922-936
    • Price, P.N.1    Nero, A.V.2    Gelman, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.