Zobrazeno 1 - 10
of 3 960
pro vyhledávání: '"empirical distribution function"'
Autor:
Mohamed Kayid
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 28472-28486 (2024)
In most lifetime models, the bivariate -quantile inactivity time is a vector of increasing functions. A novel estimator of this vector was created and investigated under this assumption. It was expected that the application of this knowledge would im
Externí odkaz:
https://doaj.org/article/bd37180342f34c5ca7aed581df962a5c
Autor:
David E. Giles
Publikováno v:
Stats, Vol 7, Iss 2, Pp 373-388 (2024)
The two-parameter distribution known as the Kumaraswamy distribution is a very flexible alternative to the beta distribution with the same (0,1) support. Originally proposed in the field of hydrology, it has subsequently received a good deal of posit
Externí odkaz:
https://doaj.org/article/c65c26e27c9e4aff9f415167061db399
Publikováno v:
AIMS Mathematics, Vol 9, Iss 1, Pp 607-624 (2024)
Threshold selection is challenging when analyzing tail data with a generalized Pareto distribution. Data below the threshold was not used in the model, resulting in incomplete characterization of the whole data. This paper applied the Gamma distribut
Externí odkaz:
https://doaj.org/article/2f68e5def2284def8d44c5b1e9d9225d
Publikováno v:
Journal of Mahani Mathematical Research, Vol 13, Iss 1, Pp 71-84 (2023)
The Inverse Gaussian (IG) distribution is widely used to model positively skewed data. In this article, we examine goodness of fit tests for the Inverse Gaussian distribution based on the empirical distribution function. In order to compute the test
Externí odkaz:
https://doaj.org/article/542f28532099438a8ed340c40889a724
Publikováno v:
Fuzzy Information and Engineering, Vol 15, Iss 1, Pp 55-68 (2023)
During the last decades, several methods have been proposed for Kolmogorov−Smirnov one-sample test based on fuzzy random variables to describe the impression of classical random variables. However, such techniques do not discuss the modeling of imp
Externí odkaz:
https://doaj.org/article/ed5317ed7028405fb8c09f67aa7179f6
Autor:
Yusuf Can Sevil, Tugba Ozkal Yildiz
Publikováno v:
Revstat Statistical Journal, Vol 21, Iss 1 (2023)
The estimation of distribution function has received considerable attention in the literature. Because, many practical problems involve estimation of distribution function from experimental data. Estimating the distribution function makes it possible
Externí odkaz:
https://doaj.org/article/8bff14f969414248986c8892cc424fd1
Publikováno v:
IEEE Access, Vol 9, Pp 94272-94280 (2021)
At a time when interest in improving the resilience of the distribution system is increasing, this paper proposes an optimal method for reinforcing the distribution system with regards to resilience. In this study, resilience is derived from the empi
Externí odkaz:
https://doaj.org/article/7a4dcf970987424dbe025c8f955a475a
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