Predicting particulate (PM10) personal exposure distributions using a random component superposition statistical model

Journal of the Air and Waste Management Association

Volumn 50, Issue 8, 2000, Pages 1390-1406

  Ott, Wayne ^a   Wallace, Lance ^b   Mage, David ^c  

^a Stanford University   (United States)

^b U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^c TEMPLE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR POLLUTION; APPROXIMATION THEORY; HEALTH RISKS; MATHEMATICAL MODELS; REGRESSION ANALYSIS; STATISTICAL METHODS;

PERSONAL EXPOSURE DISTRIBUTIONS; RANDOM COMPONENT SUPERPOSITION MODEL;

PARTICLES (PARTICULATE MATTER);

AIR POLLUTION; ARTICLE; ENVIRONMENTAL EXPOSURE; FORECASTING; HUMAN; PARTICLE SIZE; RANDOMIZATION; STATISTICAL MODEL; URBAN POPULATION; AIR MONITORING; AMBIENT AIR; ATTENUATION; CANADA; CITY; CLEANING; CONCENTRATION RESPONSE; CONFERENCE PAPER; COOKING; INDOOR AIR POLLUTION; PARTICULATE MATTER; PRIORITY JOURNAL; SMOKING; STATISTICAL ANALYSIS; UNITED STATES; URBAN AREA;

AIR POLLUTION; ENVIRONMENTAL EXPOSURE; FORECASTING; HUMANS; MODELS, STATISTICAL; PARTICLE SIZE; RANDOM ALLOCATION; URBAN POPULATION;

EID: 0033623233     PISSN: 10962247     EISSN: 21622906     Source Type: Journal    
DOI: 10.1080/10473289.2000.10464169     Document Type: Article

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