Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
12
pubmed:dateCreated
1989-3-16
pubmed:abstractText
A test of the validity of the Poisson assumption for sample replicates in dilution series of finite length is proposed and its properties are examined by using Monte Carlo simulation. The test is based on an examination of the number of intervals between complete sterility and complete infection in a series. The test is applied to a data set of routine influent coliform samples at the Chicago water supply intake. By this test, the data set is rejected as being drawn from a Poisson replication. Tables for direct application to a 3-dilution, 5-tube decimal series are presented, and their application is illustrated.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/3223765-13156652, http://linkedlifedata.com/resource/pubmed/commentcorrection/3223765-13174799, http://linkedlifedata.com/resource/pubmed/commentcorrection/3223765-13367407, http://linkedlifedata.com/resource/pubmed/commentcorrection/3223765-13581514, http://linkedlifedata.com/resource/pubmed/commentcorrection/3223765-15420239, http://linkedlifedata.com/resource/pubmed/commentcorrection/3223765-16345678, http://linkedlifedata.com/resource/pubmed/commentcorrection/3223765-16350086, http://linkedlifedata.com/resource/pubmed/commentcorrection/3223765-16560405, http://linkedlifedata.com/resource/pubmed/commentcorrection/3223765-4943680, http://linkedlifedata.com/resource/pubmed/commentcorrection/3223765-6398712, http://linkedlifedata.com/resource/pubmed/commentcorrection/3223765-7022455
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0099-2240
pubmed:author
pubmed:issnType
Print
pubmed:volume
54
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2996-3002
pubmed:dateRevised
2010-9-10
pubmed:meshHeading
pubmed:year
1988
pubmed:articleTitle
Test of the validity of the Poisson assumption for analysis of most-probable-number results.
pubmed:affiliation
Pritzker Department of Environmental Engineering, Illinois Institute of Technology, Chicago 60616.
pubmed:publicationType
Journal Article