Improved methods for determining the most probable number ofBacterium coliand ofStreptococcus faecalis
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چکیده
منابع مشابه
Overcoming the Inflexibility of Most-Probable-Number Procedures
The design of most-probable-number (MPN) experiments is restricted by the availability and completeness of tables for certain dilution ratio and replicate number combinations. The results presented in this paper are from a computer program, the Most Probable Number Enumeration System (MPNES), which generates solutions and confidence limits (P = 0.05) for population estimates of MPN data. Tables...
متن کاملComparison of direct serial dilution and most-probable-number methods for determining endotoxins in meats by the Limulus amoebocyte lysate test.
When the endotoxin content of ground beef was determined by direct serial dilution and by three-tube most-probable-number methods, the results were not significantly different, although the latter method provided more specific values for individual samples.
متن کاملThe Most Probable Database Problem
This paper proposes a novel inference task for probabilistic databases: the most probable database (MPD) problem. The MPD is the most probable deterministic database where a given query or constraint is true. We highlight two distinctive applications, in database repair of key and dependency constraints, and in finding most probable explanations in statistical relational learning. The MPD probl...
متن کاملTempo® Most Probable Number Technique for the Enumeration Yeasts and Moulds in Feed and Food Products
The large and diverse group of microscopic foodborne yeasts and moulds includes several hundred species. Both yeasts and moulds cause various degrees of deterioration and decomposition of food. They can invade and grow on virtually any type of food at any time, e.g. they invade field crops such as small grains, nuts, beans, tomatoes, and apples both in the field before harvesting and during sto...
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ژورنال
عنوان ژورنال: Epidemiology and Infection
سال: 1953
ISSN: 0950-2688,1469-4409
DOI: 10.1017/s0022172400036743