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Complete Convergence for Weighted Sums of Negatively Superadditive Dependent Random Variables
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作者 王嫱 周德霞 +2 位作者 杜玲 潇如 王学军 《Chinese Quarterly Journal of Mathematics》 2016年第4期359-368,共10页
In the paper, the complete convergence for the maximum of weighted sums of negatively superadditive dependent(NSD, in short) random variables is investigated by using the Rosenthal type inequality. Some sufficient con... In the paper, the complete convergence for the maximum of weighted sums of negatively superadditive dependent(NSD, in short) random variables is investigated by using the Rosenthal type inequality. Some sufficient conditions are presented to prove the complete convergence. The result obtained in the paper generalizes some corresponding ones for independent random variables and negatively associated random variables. 展开更多
关键词 negatively superadditive dependent random variables Rosenthal-type inequality complete convergence
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Lr Convergence for Arrays of Rowwise Negatively Sup eradditive Dep endent Random Variables
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作者 ZHU Hua-yan SHEN Ai-ting ZHANG Ying 《Chinese Quarterly Journal of Mathematics》 2016年第2期162-170,共9页
Let {X_(nk), k ≥ 1, n ≥ 1} be an array of rowwise negatively superadditive dependent random variables and {a_n, n ≥ 1} be a sequence of positive real numbers such that a_n↑∞. Under some suitable conditions,L_r co... Let {X_(nk), k ≥ 1, n ≥ 1} be an array of rowwise negatively superadditive dependent random variables and {a_n, n ≥ 1} be a sequence of positive real numbers such that a_n↑∞. Under some suitable conditions,L_r convergence of 1/an max 1≤j≤n |j∑k=1 X_(nk)| is studied. The results obtained in this paper generalize and improve some corresponding ones for negatively associated random variables and independent random variables. 展开更多
关键词 Lr convergence convergence in probability negatively superadditive dependent random variables
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Almost Sure Convergence Theorem and Strong Stability for Weighted Sums of NSD Random Variables 被引量:14
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作者 Yan SHEN Xue Jun WANG +1 位作者 Wen Zhi YANG Shu He HU 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2013年第4期743-756,共14页
In this paper, Kolmogorov-type inequality for negatively superadditive dependent (NSD) random variables is established. By using this inequality, we obtain the almost sure convergence for NSD sequences, which extend... In this paper, Kolmogorov-type inequality for negatively superadditive dependent (NSD) random variables is established. By using this inequality, we obtain the almost sure convergence for NSD sequences, which extends the corresponding results for independent sequences and negatively associated (NA) sequences. In addition, the strong stability for weighted sums of NSD random variables is studied. 展开更多
关键词 Almost sure convergence negatively superadditive dependent strong stability
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Hochschild and Cyclic (Co)homology of Superadditive Categories
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作者 De Ke ZHAO 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2015年第2期201-215,共15页
We define the ttochschild and cyclic (co)homology groups for superadditive categories and show that these (co)homology groups are graded Morita invariants. We also show that the Hochschild and cyclic homology are ... We define the ttochschild and cyclic (co)homology groups for superadditive categories and show that these (co)homology groups are graded Morita invariants. We also show that the Hochschild and cyclic homology are compatible with the tensor product of superadditive categories. 展开更多
关键词 K-categories superadditive categories Hochschild (co)homology cyclic (co)homology graded Morita equivalence Kunneth formula
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Optimal Production Functions and Their Homogeneity Superadditive,and Concavity
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作者 WANG Xianjia(Waterpower Engineering DepartmentWuhan Univ. of Hydraulic & Electric Engineering, Wuhan, 430072 China) 《Systems Science and Systems Engineering》 CSCD 1996年第2期193-197,共5页
This paper, firstly, establishes the formula of production possibilities set by using axiomatic method, upon which some optimal production functions are based in different senses of optimization. Finally, this paper p... This paper, firstly, establishes the formula of production possibilities set by using axiomatic method, upon which some optimal production functions are based in different senses of optimization. Finally, this paper proves that the optimal production functions possess homogeneity,superadditive, and concavity. 展开更多
关键词 Production possibilities set Optimal Production Function HOMOGENEITY Superadditive Concavity.
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