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Volumn 9, Issue 5, 1998, Pages 565-586

Assessment of a Bayesian multivariate interpolation approach for health impact studies

Author keywords

Air pollution; Bayesian spatial interpolation; EM algorithm; Nitrate; Ozone; Sulphate; Sulphur dioxide

Indexed keywords

ASSESSMENT METHOD; ATMOSPHERIC POLLUTION; BAYESIAN ANALYSIS; HEALTH IMPACT; MEDICAL GEOGRAPHY; PUBLIC HEALTH;

EID: 0031705451     PISSN: 11804009     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1099-095X(199809/10)9:5<565::AID-ENV324>3.0.CO;2-S     Document Type: Conference Paper
Times cited : (23)

References (21)
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  • 7
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    • Spatial covariance estimation for monitoring data
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    • Inputing unmeasured explanatory variables in environmental epidemiology with application to health impact analysis of air pollution
    • To appear
    • Zidek, J. V., White, R., Le, N. D., Sun, W. and Burnett, R. T. (1998). 'Inputing unmeasured explanatory variables in environmental epidemiology with application to health impact analysis of air pollution'. Journal of Environmental and Ecological Statistics, 5(2). (To appear).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.