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http://archives.univ-biskra.dz/handle/123456789/11183Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | LAOUAR Sihem | - |
| dc.date.accessioned | 2018-10-11T13:38:49Z | - |
| dc.date.available | 2018-10-11T13:38:49Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.uri | http://archives.univ-biskra.dz/handle/123456789/11183 | - |
| dc.description.abstract | Fisher's information is essential in the theory of estimation, particularly by the theorem Frechet-Darmois-Cramer-Rao on the variance of an estimator. In this thesis, we are interested in defining the Fisher information in the case of random data censored and truncated to the right to use the statistics of extreme values. | en_US |
| dc.language.iso | fr | en_US |
| dc.subject | Point estimate; Sufficiency; Exponential family; Inequality of Frechet-Darmois-Cramer-Rao; Fisher's information on incomplete data (censor and truncation). | en_US |
| dc.title | Information de Fisher | en_US |
| dc.type | Master | en_US |
| Appears in Collections: | Faculté des Sciences Exactes et des Sciences de la Nature et de la Vie (FSESNV) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| LAOUAR_Sihem.pdf | 404,13 kB | Adobe PDF | View/Open |
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