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Volumn 73, Issue 8, 2010, Pages 1416-1422

Modeling prevalence and counts from most probable number in a bayesian framework: An application to salmonella typhimurium in fresh pork sausages

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS; ANIMAL; BACTERIAL COUNT; BAYES THEOREM; BIOLOGICAL MODEL; EPIDEMIOLOGY; FOOD CONTAMINATION; FOOD CONTROL; GROWTH, DEVELOPMENT AND AGING; HUMAN; IRELAND; ISOLATION AND PURIFICATION; MEAT; MICROBIOLOGY; PREVALENCE; PRODUCT SAFETY; SALMONELLA ENTERICA SUBSP. ENTERICA SEROVAR TYPHIMURIUM; SWINE;

EID: 77955935260     PISSN: 0362028X     EISSN: None     Source Type: Journal    
DOI: 10.4315/0362-028X-73.8.1416     Document Type: Article
Times cited : (10)

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