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pro vyhledávání: '"Fall, Adja Mbarka"'
We introduce a new generalization of the Pseudo-Lindley distribution by applying alpha power transformation. The obtained distribution is referred as the Pseudo-Lindley alpha power transformed distribution (\textit{PL-APT}). Some tractable mathematic
Externí odkaz:
http://arxiv.org/abs/2201.07292
Autor:
Lo, Gane Samb, Fall, Adja Mbarka
Publikováno v:
Africa statistika 2011, 6, pp. 346-371
This note compares two approaches both alternatively used when establishing normality theorems in univariate Extreme Value Theory. When the underlying distribution function ($df$) is the extremal domain of attraction, it is possible to use representa
Externí odkaz:
http://arxiv.org/abs/1405.5580
The paper deals with the asymptotic laws of functional of standard random variables. These classes of statistics are closely related to estimators of the extreme value index when the underlying distribution function is in the Weibull domain of attrac
Externí odkaz:
http://arxiv.org/abs/1306.5462
Association of random variables and Demimartingales are recent fields for handling asymptotic behaviors of sums of dependent random variables. We apply their techniques to establish the asymptotic law of a demimartingale We next apply the results to
Externí odkaz:
http://arxiv.org/abs/1208.1487
Autor:
Lo, Gane Samb, Fall, Adja Mbarka
We consider the Pickands process {equation*} P_{n}(s)=\log (1/s)^{-1}\log \frac{X_{n-k+1,n}-X_{n-[k/s]+1,n}}{% X_{n-[k/s]+1,n}-X_{n-[k/s^{2}]+1,n}}, {equation*} {equation*} (\frac{k}{n}\leq s^2 \leq 1), {equation*} which is a generalization of the cl
Externí odkaz:
http://arxiv.org/abs/1111.4469
Publikováno v:
Afrika Statistika; Jul2022, Vol. 17 Issue 3, p3259-3291, 33p
