期刊文献+
共找到5篇文章
< 1 >
每页显示 20 50 100
Partial Order and Extremes of Multivariate Extreme Value Distributions
1
作者 DONG Yong-quan XU Fu-xia 《Chinese Quarterly Journal of Mathematics》 CSCD 2010年第1期118-123,共6页
这份报纸与固定边缘的分布在 multivariate 极端价值分布之中学习依赖顺序。使用性交证明集合由 multivariate 极端价值分布和在它定义的依赖顺序组织了是一个部分顺序集合。最后,集合的最大、最小的价值被讨论。
关键词 性交 multivariate 极端价值 依赖顺序 确实依赖 2000 苏布杰克特先生分类 60e15
下载PDF
Maximal inequalities for demimartingales and their applications 被引量:15
2
作者 WANG XueJun HU ShuHe 《Science China Mathematics》 SCIE 2009年第10期2207-2217,共11页
In this paper, we establish some maximal inequalities for demimartingales which generalize and improve the results of Christofides. The maximal inequalities for demimartingales are used as key inequalities to establis... In this paper, we establish some maximal inequalities for demimartingales which generalize and improve the results of Christofides. The maximal inequalities for demimartingales are used as key inequalities to establish other results including Doob’s type maximal inequality for demimartingales, strong laws of large numbers and growth rate for demimartingales and associated random variables. At last, we give an equivalent condition of uniform integrability for demisubmartingales. 展开更多
关键词 MAXIMAL INEQUALITY demimartingales ASSOCIATED RANDOM VARIABLES growth RATE
原文传递
An overview of representation theorems for static risk measures 被引量:2
3
作者 SONG YongSheng YAN JiaAn 《Science China Mathematics》 SCIE 2009年第7期1412-1422,共11页
In this paper,we give an overview of representation theorems for various static risk measures:coherent or convex risk measures, risk measures with comonotonic subadditivity or convexity, law-invariant coherent or conv... In this paper,we give an overview of representation theorems for various static risk measures:coherent or convex risk measures, risk measures with comonotonic subadditivity or convexity, law-invariant coherent or convex risk measures, risk measures with comonotonic subadditivity or convexity and respecting stochastic orders. 展开更多
关键词 Choquet INTEGRAL (concave) DISTORTION law-invariant risk measure stochastic ORDERS
原文传递
Exponential inequalities for associated random variables and strong laws of large numbers 被引量:1
4
作者 Shan-chao YANG & Min CHEN Deptartment of Mathematics, Guangxi Normal University, Guilin 541004, China Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, China 《Science China Mathematics》 SCIE 2007年第5期705-714,共10页
Some exponential inequalities for partial sums of associated random variables are established. These inequalities improve the corresponding results obtained by Ioannides and Roussas (1999), and Oliveira (2005). As app... Some exponential inequalities for partial sums of associated random variables are established. These inequalities improve the corresponding results obtained by Ioannides and Roussas (1999), and Oliveira (2005). As application, some strong laws of large numbers are given. For the case of geometrically decreasing covariances, we obtain the rate of convergence n-1/2(log log n)1/2(logn) which is close to the optimal achievable convergence rate for independent random variables under an iterated logarithm, while Ioannides and Roussas (1999), and Oliveira (2005) only got n-1/3(logn)2/3 and n-1/3(logn)5/3, separately. 展开更多
关键词 associated random variable EXPONENTIAL INEQUALITY STRONG LAW of large NUMBERS rate of CONVERGENCE
原文传递
The fundamental theory of abstract majorization inequalities 被引量:1
5
作者 YANG DingHua College of Mathematics and Software Sciences, Sichuan Normal University, Chengdu 610066, ChinaAbstract 《Science China Mathematics》 SCIE 2009年第10期2287-2308,共22页
Using the axiomatic method,abstract concepts such as abstract mean, abstract convex function and abstract majorization are proposed. They are the generalizations of concepts of mean, convex function and majorization, ... Using the axiomatic method,abstract concepts such as abstract mean, abstract convex function and abstract majorization are proposed. They are the generalizations of concepts of mean, convex function and majorization, respectively. Through the logical deduction, the fundamental theorems about abstract majorization inequalities are established as follows: for arbitrary abstract mean Σ and Σ , and abstract Σ→Σ strict convex function f(x) on the interval I, if xi, yi ∈ I (i = 1, 2, . . . , n) satisfy that (x1, x2, . . . , xn) <nΣ (y1, y2, . . . , yn), then Σ {f(x1), f(x2), . . . , f(xn)} ≥Σ {f(y1), f(y2), . . . , f(yn)}. This class of inequalities extends and generalizes the fundamental theorem of majorization inequalities. Moreover, concepts such as abstract vector mean are proposed, the fundamental theorems about abstract majorization inequalities are generalized to n-dimensional vector space. The fundamental theorem of majorization inequalities about the abstract vector mean are established as follows: for arbitrary symmetrical convex set S Rn, and n-variable abstract symmetrical Σ→Σ strict convex function φ() on S, if , ■∈S satisfy nΣ■, then φ() 〈(■); if vector group i, ■i∈ S (i = 1, 2, . . . , m) satisfy {1, 2, . . . , m} 〈Σn {■1, ■2, . . . , ■m}, then Σ {φ(1), φ(2), . . . , φ(m)} Σ {φ(■1), φ(■2), . . . , φ(■m)}. 展开更多
关键词 ABSTRACT mean ABSTRACT CONVEX function ABSTRACT majorization ABSTRACT majorization INEQUALITY
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部