Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dahms, S. | de |
dc.contributor.author | Kunert, J. | de |
dc.contributor.author | Voss, B. | de |
dc.contributor.author | Weiss, H. | de |
dc.date.accessioned | 2004-12-06T18:40:27Z | - |
dc.date.available | 2004-12-06T18:40:27Z | - |
dc.date.issued | 1999 | de |
dc.identifier.uri | http://hdl.handle.net/2003/4955 | - |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-6644 | - |
dc.description.abstract | The so-called good-laboratory-practice (GLP) test provides an experimental design and appropriate statistical analysis for the problem of analyst performance assessment in microbiological laboratories. For a given sample material multiple dilution series are generated yielding colony counts from several dilution levels. Statistical evaluation is based on the assumption of Poisson-distributed colony forming units. In this paper a new model based on conditional binomial and multinomial distributions is presented and it is shown how it is related to the standard model which assumes Poisson-distributed colony counts. The effects of common working errors on the statistical evaluation of the GLP-test are investigated. | en |
dc.format.extent | 328104 bytes | - |
dc.format.extent | 5848924 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | application/postscript | - |
dc.language.iso | en | de |
dc.publisher | Universitätsbibliothek Dortmund | de |
dc.subject | good-laboratory-practice-test | en |
dc.subject | multinomial model | en |
dc.subject | Poisson model | en |
dc.subject | quality control | en |
dc.subject | standardized analytical methods | en |
dc.subject.ddc | 310 | de |
dc.title | A Multinomial Model for the Quality Control of Colony Counting Procedures | en |
dc.type | Text | de |
dc.type.publicationtype | report | en |
dcterms.accessRights | open access | - |
Appears in Collections: | Sonderforschungsbereich (SFB) 475 |
Files in This Item:
File | Description | Size | Format | |
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99_19.pdf | DNB | 320.41 kB | Adobe PDF | View/Open |
tr19-99.ps | 5.71 MB | Postscript | View/Open |
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