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dc.contributor.authorDahms, S.de
dc.contributor.authorKunert, J.de
dc.contributor.authorVoss, B.de
dc.contributor.authorWeiss, H.de
dc.date.accessioned2004-12-06T18:40:27Z-
dc.date.available2004-12-06T18:40:27Z-
dc.date.issued1999de
dc.identifier.urihttp://hdl.handle.net/2003/4955-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-6644-
dc.description.abstractThe 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.extent328104 bytes-
dc.format.extent5848924 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/postscript-
dc.language.isoende
dc.publisherUniversitätsbibliothek Dortmundde
dc.subjectgood-laboratory-practice-testen
dc.subjectmultinomial modelen
dc.subjectPoisson modelen
dc.subjectquality controlen
dc.subjectstandardized analytical methodsen
dc.subject.ddc310de
dc.titleA Multinomial Model for the Quality Control of Colony Counting Proceduresen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 475

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