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Journal article
Test of the validity of the Poisson assumption for analysis of most-probable-number results
Applied and environmental microbiology, v 54(12), pp 2996-3002
Dec 1988
PMID: 3223765
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Abstract
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.
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Details
- Title
- Test of the validity of the Poisson assumption for analysis of most-probable-number results
- Creators
- C N Haas - Illinois Institute of TechnologyB Heller - Illinois Institute of Technology
- Publication Details
- Applied and environmental microbiology, v 54(12), pp 2996-3002
- Publisher
- American Society for Microbiology (ASM)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:A1988R141800019
- Scopus ID
- 2-s2.0-0024220291
- Other Identifier
- 991019189294104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Biotechnology & Applied Microbiology
- Microbiology