Quantitative microbial risk assessment: Uncertainty and measures of central tendency for skewed distributions

Stochastic Environmental Research and Risk Assessment

Volumn 22, Issue 4, 2008, Pages 533-539

  Benke, K K ^a   Hamilton, A J ^b,c  

^a DEPARTMENT OF PRIMARY INDUSTRIES   (Australia)

^b DEAKIN UNIVERSITY   (Australia)

^c UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Cryptosporidium; Dose response; Pathogen; Risk; Simulation; Uncertainty

Indexed keywords

ARITHMETIC MEAN; CRYPTOSPORIDIUM; DOSE-RESPONSE;

MICROBIOLOGY; MONTE CARLO METHODS; PATHOGENS; PROBABILITY DISTRIBUTIONS; UNCERTAINTY ANALYSIS;

RISK ASSESSMENT;

COMPUTER SIMULATION; ENVIRONMENTAL RISK; ESTIMATION METHOD; MICROBIAL COMMUNITY; MONTE CARLO ANALYSIS; NUMERICAL MODEL; PROBABILITY; RISK ASSESSMENT; UNCERTAINTY ANALYSIS;

CRYPTOSPORIDIUM; GIARDIA;

EID: 42549132570     PISSN: 14363240     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00477-007-0171-9     Document Type: Article

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