Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/11496
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dc.contributor.authorLAOUAR, Sihem-
dc.date.accessioned2019-03-12T08:54:40Z-
dc.date.available2019-03-12T08:54:40Z-
dc.date.issued2018-06-20-
dc.identifier.urihttp://archives.univ-biskra.dz/handle/123456789/11496-
dc.description.abstractFisher'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. Key words: Point estimate; Sufficiency; Exponential family; Inequality of Frechet-Darmois-Cramer-Rao; Fisher's information on incomplete data (censor and truncatioen_US
dc.language.isofren_US
dc.titleInformation de Fisheren_US
dc.typeMasteren_US
Appears in Collections:Faculté des Sciences Exactes et des Science de la Nature et de la vie (FSESNV)

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