Abstract
The paper studies the problem of estimating the upper end point of a finite interval when the data come from a uniform distribution on this interval and are disturbed by normally distributed measurement errors with known variance. Maximum likelihood and method of moments estimators are introduced and compared to each other.
| Item Type: | Paper |
|---|---|
| Faculties: | Mathematics, Computer Science and Statistics > Statistics > Collaborative Research Center 386 Special Research Fields > Special Research Field 386 |
| Subjects: | 500 Science > 510 Mathematics |
| URN: | urn:nbn:de:bvb:19-epub-1717-7 |
| Language: | English |
| Item ID: | 1717 |
| Date Deposited: | 10. Apr 2007 |
| Last Modified: | 04. Nov 2020 12:45 |

