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Theorems of complete convergence and complete integral convergence for END random variables under sub-linear expectations [PDF]

Journal of Inequalities and Applications, 2019
The goal of this paper is to build complete convergence and complete integral convergence for END sequences of random variables under sub-linear expectation space.
Ziwei Liang, Qunying Wu
doaj   +4 more sources

On Some Conditions for Strong Law of Large Numbers for Weighted Sums of END Random Variables under Sublinear Expectations

Discrete Dynamics in Nature and Society, 2019
In this article, we research some conditions for strong law of large numbers (SLLNs) for weighted sums of extended negatively dependent (END) random variables under sublinear expectation space.
Xiaochen Ma, Qunying Wu
doaj   +3 more sources

Complete Convergence for END Random Variables under Sublinear Expectations [PDF]

Discrete Dynamics in Nature and Society, 2021
In this paper, the complete convergence theorems of partial sums and weighted sums for extended negatively dependent random variables in sublinear expectation spaces have been studied and established.
Qunying Wu
doaj   +3 more sources

A combinatorial and probabilistic study of initial and end heights of descents in samples of geometrically distributed random variables and in permutations [PDF]

Discrete Mathematics & Theoretical Computer Science, 2007
Analysis of ...
Guy Louchard, Helmut Prodinger
doaj   +7 more sources

Complete Convergence for Sung’s Type Weighted Sums of END Random Variables [PDF]

Journal of Inequalities and Applications, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly   +3 more sources

Complete moment convergence of moving average processes for m-WOD sequence

Journal of Inequalities and Applications, 2021
In this paper, the complete moment convergence for the partial sum of moving average processes { X n = ∑ i = − ∞ ∞ a i Y i + n , n ≥ 1 } $\{X_{n}=\sum_{i=-\infty }^{\infty }a_{i}Y_{i+n},n\geq 1\}$ is established under some mild conditions, where { Y i , −
Lihong Guan, Yushan Xiao, Yanan Zhao
doaj   +2 more sources

Ensemble machine learning method for δ18O prediction in groundwater [PDF]

Scientific Reports
Groundwater δ18O interpretation in arid regions is challenging due to complex recharge, salinization, and limited datasets. We applied ensemble machine learning, Random Forest, Lasso, and Gradient Boosting, to predict δ18O using hydrochemical and spatial
Faten. A. Mohamed, Mostafa Sadek, Nema Mohamed Kandil   +2 more
doaj   +2 more sources

Precise Large Deviations for Random Sums of END Random Variables with Dominated Variation [PDF]

ISRN Applied Mathematics, 2013
We investigate the precise large deviations for random sums of extended negatively dependent random variables with long and dominatedly varying tails. We find out that the asymptotic behavior of precise large deviations of random sums is insensitive to the extended negative dependence.
Chen, Yu, Qu, Zhihui
openaire   +1 more source

Introduction to Plithogenic Logic as generalization of MultiVariate Logic [PDF]

Neutrosophic Sets and Systems, 2021
A Plithogenic Logical proposition P is a proposition that is characterized by many degrees of truth-values with respect to many corresponding attribute-values (or random variables) that characterize P.
Florentin Smarandache
doaj   +1 more source

CONVERGENCE PROPERTIES OF THE PARTIAL SUMS FOR SEQUENCES OF END RANDOM VARIABLES [PDF]

Journal of the Korean Mathematical Society, 2012
The convergence properties of extended negatively depen- dent sequences under some conditions of uniform integrability are studied. Some sufficient conditions of the weak law of large numbers, the p-mean convergence and the complete convergence for extended negatively depen- dent sequences are obtained, which extend and enrich the known results in the ...
Yongfeng Wu, Mei Guan
openaire   +1 more source