Uncertainty analysis of the recovery of hollow-fiber ultrafiltration for multiple microbe classes from water: A Bayesian approach

Journal of Microbiological Methods

Volumn 93, Issue 3, 2013, Pages 161-167

  Wu, Jianyong ^a   Simmons, Otto D ^b   Sobsey, Mark D ^a  

^a IL   (United States)

^b North Carolina State University   (United States)

Author keywords

Bayesian statistics; Drinking water; Hollow fiber ultrafilter; Microorganisms; Recovery; Uncertainty analysis

Indexed keywords

ADENOVIRUS; ARTICLE; BACILLUS ATROPHAEUS; BACTERIUM IDENTIFICATION; BAYES THEOREM; CONTROLLED STUDY; DATA ANALYSIS; DECOMPOSITION; ESCHERICHIA COLI; HOLLOW FIBER ULTRAFILTRATION; MATHEMATICAL ANALYSIS; MONTE CARLO METHOD; MS2 VIRUS; NONHUMAN; PRIORITY JOURNAL; PROBABILITY; SENSITIVITY ANALYSIS; SPECIES DIFFERENCE; STATISTICAL DISTRIBUTION; ULTRAFILTRATION; UNCERTAINTY; VIRUS IDENTIFICATION; WATER QUALITY;

ADENOVIRIDAE; BACTERIA; BACTERIOLOGICAL TECHNIQUES; LEVIVIRUS; SENSITIVITY AND SPECIFICITY; SPECIMEN HANDLING; SPORES, BACTERIAL; ULTRAFILTRATION; WATER MICROBIOLOGY;

ADENOVIRIDAE; BACILLUS ATROPHAEUS; ESCHERICHIA COLI;

EID: 84876732245     PISSN: 01677012     EISSN: 18728359     Source Type: Journal    
DOI: 10.1016/j.mimet.2013.03.005     Document Type: Article

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