Zobrazeno 1 - 10
of 545
pro vyhledávání: '"Truncated distribution"'
Autor:
Marques, Rafaela Aparecida Mendonça, Maciel, Aline Cristina, Costa, Antonio Fernando Branco, Santos, Kleber Roberto da Silva
Publikováno v:
International Journal of Quality & Reliability Management, 2023, Vol. 41, Issue 2, pp. 674-697.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJQRM-07-2022-0231
Publikováno v:
Results in Applied Mathematics, Vol 22, Iss , Pp 100446- (2024)
A truncated form of a matrix variate gamma distribution is introduced and a number of properties of this distribution such as cumulative distribution function, orthogonal invariance, moment generating function, marginal distribution of block matrices
Externí odkaz:
https://doaj.org/article/0d6543f668aa430c9e8a145adad2cb6f
Autor:
Héctor J. Gómez, Karol I. Santoro, Diego Ayma, Isaac E. Cortés, Diego I. Gallardo, Tiago M. Magalhães
Publikováno v:
Mathematics, Vol 12, Iss 11, p 1762 (2024)
In this article, we introduce a new model with positive support. This model is an extension of the truncated Gumbel distribution, where a shape parameter is incorporated that provides greater flexibility to the new model. The model is parameterized i
Externí odkaz:
https://doaj.org/article/8b2df667f9b245f881e6007dcab154a4
Autor:
Bo Chen, Matthew Hale
Publikováno v:
The Journal of Privacy and Confidentiality, Vol 14, Iss 1 (2024)
The Gaussian mechanism is one differential privacy mechanism commonly used to protect numerical data. However, it may be ill-suited to some applications because it has unbounded support and thus can produce invalid numerical answers to queries, such
Externí odkaz:
https://doaj.org/article/95e8ea0e4a0946bbb5b578c2249189ae
Autor:
Wang Huawei, Liu Yanan
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper uses an improved DEVA model and stochastic frontier gravity method to combine natural and inefficient influencing factors to measure the optimal trade potential using cross-border e-commerce trade volume so that the stochastic disturbance
Externí odkaz:
https://doaj.org/article/e73a30f2bfa048968333c6ab53688ab8
Akademický článek
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Publikováno v:
Mathematics, Vol 11, Iss 16, p 3579 (2023)
In this article, we derive a closed-form expression for computing the probabilities of p-dimensional rectangles by means of a multivariate skew-normal distribution. We use a stochastic representation of the multivariate skew-normal/independent distri
Externí odkaz:
https://doaj.org/article/6a109daa52234a1c90cd5fb86888f98b
The zero-truncated discrete transmuted generalized inverse Weibull distribution and its applications
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 43, Iss 4, Pp 1140-1151 (2021)
In this article, a new distribution for count data analysis is introduced. Firstly, the Discrete Transmuted Generalized Inverse Weibull distribution (DTGIW) is constructed. Consequently, some useful sub-models are discussed. Secondly, the ZeroTrunca
Externí odkaz:
https://doaj.org/article/1bde874efa6c47d9b13c54e0c3d4bf74
Publikováno v:
AIMS Mathematics, Vol 5, Iss 5, Pp 5031-5054 (2020)
The aim of the paper is to propose a new Reflected Power function distribution (RPFD). We provide the various properties of the new model in detail such as moments, vitality function and order statistics. We characterize the RPFD based on conditional
Externí odkaz:
https://doaj.org/article/87af5ae89b484c08b70185981efbd037
Publikováno v:
European Transport Research Review, Vol 12, Iss 1, Pp 1-11 (2020)
Abstract We study the problem of making algorithmic statistical inferences about the dynamics of city traffic. Our data is based on loop detector counts of observed vehicles in various roads in the city of Tampere, Finland. We show that meaningful co
Externí odkaz:
https://doaj.org/article/dd0ea1dadd5f4a8ea8c7cb84418f5d04