A finite sample comparison of nonparametric estimates of the effective dose in quantal bioassay
dc.contributor.author | Dette, Holger | |
dc.contributor.author | Scheder, Regine | |
dc.date.accessioned | 2008-11-26T14:31:32Z | |
dc.date.available | 2008-11-26T14:31:32Z | |
dc.date.issued | 2008-11-26T14:31:32Z | |
dc.description.abstract | To estimate the effective dose level ED in the common binary response model, several parametric and nonparametric estimators have been proposed in the literature. In the present paper, we focus on nonparametric methods and present a detailed numerical comparison of four different approaches to estimate the ED nonparametrically. The methods are briefly reviewed and their finite sample properties are studied by means of a detailed simulation study. Moreover, a data example is presented to illustrate the different concepts. | en |
dc.identifier.uri | http://hdl.handle.net/2003/25868 | |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-14442 | |
dc.language.iso | en | de |
dc.subject | Binary response model | en |
dc.subject | Effective dose level | en |
dc.subject | Isotonic regression | en |
dc.subject | Local linear regression | en |
dc.subject | Nonparametric regression | en |
dc.subject | Order restricted inference | en |
dc.subject.ddc | 004 | |
dc.title | A finite sample comparison of nonparametric estimates of the effective dose in quantal bioassay | en |
dc.type | Text | de |
dc.type.publicationtype | report | en |
dcterms.accessRights | open access |