Location-Scale Bivariate Weibull Distributions For Bivariate
| Metadata Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Carpenter, Mark | |
| dc.contributor.advisor | Abebe, Asheber | en_US |
| dc.contributor.advisor | Billor, Nedret | en_US |
| dc.contributor.author | Han, Yi | en_US |
| dc.date.accessioned | 2008-09-09T21:18:06Z | |
| dc.date.available | 2008-09-09T21:18:06Z | |
| dc.date.issued | 2005-12-15 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10415/454 | |
| dc.description.abstract | Much research has been conducted over the last thirty years in the development and characterization of bivariate survival distributions. Typically, the multivariate distribution is derived assuming that the marginal distributions are of some specified lifetime family. In this thesis, we examine various bivariate Weibull models. In addition, a location-scale bivariate Weibull model is proposed. Bivariate parameter estimation, with and without censoring, is developed and applied to real and simulated data. Examples are drawn from biomedical research. | en_US |
| dc.language.iso | en_US | en_US |
| dc.subject | Mathematics and Statistics | en_US |
| dc.title | Location-Scale Bivariate Weibull Distributions For Bivariate | en_US |
| dc.type | Thesis | en_US |
| dc.embargo.length | NO_RESTRICTION | en_US |
| dc.embargo.status | NOT_EMBARGOED | en_US |