A Multinomial Model for the Quality Control of Colony Counting Procedures
| 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.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.identifier.uri | http://hdl.handle.net/2003/4955 | |
| dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-6644 | |
| 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 |