相关攻击与相关免疫函数

本文首先介绍了如何采用ＤＣ攻击法对一类流密码体制进行相关攻击，从而说明在密码学中有必要研究相关免疫（ＣＩ）函数。在综述了域Ｆ２上相关免疫（ＣＩ）函数的研究进展的同时，给出了ＣＩ函数在一般有限域上的特性和构造，并进一步研究有限环Ｚ／（ｍ）时的情景，本文详尽描述了ＣＩ函数的五种充要条件。最后提出了几个值得研究的未解决的问题。     

Correlation Inequalities

The main point of this note is to give a simple semigroup proof of a correlation inequality due to Hu , [H]. We also recover recent correlation inequalities due to Houdré , Pérez–Abreu and Surgailis , [HPS] and obtain some new correlation inequalities on Lie groups.     

相关系数矩阵与多元线性相关分析

相关系数指度量两个随机变量间线性关系的无量纲指标,在研究了相关系数矩阵性质及其与多元随机变量线性相关性之间关系的基础上,提出多元线性相关系数的定义,用于衡量多个变鼋间线性相关强弱的无量纲指标.分析表明,所提多元线性相关系数能够较全面地反映变量间的线性相关强度.     

用简相关的统计参数求复相关回归方程

文章阐述用简相关的三个统计参数求复相关回归方程,应用实例说明,此法效果良好     

Correlation and Entanglement

In quantum mechanics, it is long recognized that there exist correlations between observables which are much stronger than the classical ones. These correlations are usually called entanglement, and cannot be accounted for by classical theory. In this paper, we will study correlations between observables in terms of covariance and the Wigner-Yanase correlation, and compare their merits in characterizing entanglement. We will show that the Wigner-Yanase correlation has some advantages over the conventional covariance.     

相关系数的传递性

主要研究了相关系数的传递性.首先在区间[-1,1]上引入两个运算和⊕,并讨论了它们的性质.接着利用运算和⊕给出了相关系数的传递性:当Xi与Xk完全相关,Xk与Xj完全相关时,Xi与Xj也完全相关.     

具有椭球误差的线性一致相关模型的相关性检验

本文讨论具有椭球误差的线性一致相关模型的相关性检验问题.基于Fisher-score方法给出模型参数估计的迭代公式,然后分别对一致相关系数进行了存在性和齐性检验,得到了相应检验的score统计量,同时给出了功效模拟.最后利用实际数据说明了模型以及检验统计量的价值.     

Tail Properties of Correlation Measures

We study the tail properties of a class of Borel probability measures, called correlation measures. We show that (i) there exist correlation measures with exponentially decaying tail probabilities, and (ii) roughly speaking, no correlation measure may have smaller tail probabilities than a Gaussian measure.     

Correlation of zeros of automorphic L-functions

We compute the n-level correlation of normalized nontrivial zeros of a product of L-functions:L(s,π1)···L(s,πk), where πj, j=1,...,k, are automorphic cuspidal representations of GLmj(QA). Here the sizes of the groups GLmj(QA) are not necessarily the same. When these L(s,πj) are distinct, we prove that their nontrivial zeros are uncorrelated, as predicted by random matrix theory and verified numerically. When L(s,πj) are not necessarily distinct, our results will lead to a proof that the n-level correlation of normalized nontrivial zeros of the product L-function follows the superposition of Gaussian Unitary Ensemble (GUE) models of individual L-functions and products of lower rank GUEs. The results are unconditional when m1,...,mk 4,but are under Hypothesis H in other cases.     

Ueber Collineation und Correlation

Ohne Zusammenfassung     

Compactly Supported Correlation Functions

This article proposes compactly supported correlation functions, which parameterize the smoothness of the associated stationary and isotropic random field. The constructions are straightforward, and compact support is relevant for various ends: computationally efficient spatial prediction, fast and exact simulation, and appeal among practicioners.     

Correlation in redundancy systems

Queueing Systems - We study the tight upper bound of the transient mean waiting time in the classical GI/GI/1 queue over candidate interarrival-time distributions with finite support, given the...     

Correlation analysis of coupled fitness landscapes

The correlation structure of fitness landscapes is a much used measure to characterize and classify various types of landscapes. However, analyzing the correlation structure of fitness landscapes has so far been restricted to static landscapes only. Here, we investigate the correlation structure of coupled, or dynamic, fitness landscapes. Using the NKC model of coevolution, we apply a correlation analysis on various instances of this model and present the results. One of the main goals of this article is thus to show that a previously introduced correlation analysis can be successfully extended to coupled fitness landscapes. Furthermore, our analysis shows that this provides meaningful and interesting results that can contribute to a better understanding of coevolution in general. © 2005 Wiley Periodicals, Inc. Complexity 10: 41–49, 2005     

成分数据相关系数的计算方法

成分数据具有非常复杂的数学性质,很多传统的统计分析方法对其是失效的,因此,在研究中必须采用特殊处理和专门技术.着重讨论了成分数据相关系数的计算方法,由于普通数据的相关系数计算方法只适用于两组单变量数据,而传统的典型相关分析又鉴于成分数据的特殊性质而不能直接使用,故结合logratio变换和典型相关分析技术,提出了一种针对成分数据的相关系数计算方法,成功地解决了这一问题.     

居民消费的典型相关分析

本文介绍了典型相关的基本思想 ,对居民消费与税收等指标之间的相互关系作典型相关分析 ,并就其间的因素影响进行讨论。     

Correlation structure of time-changed Pearson diffusions

The stochastic solution to diffusion equations with polynomial coefficients is called a Pearson diffusion. If the time derivative is replaced by a distributed order fractional derivative, the stochastic solution is called a distributed order fractional Pearson diffusion. This paper develops a formula for the covariance function of distributed order fractional Pearson diffusion in the steady state, in terms of generalized Mittag-Leffler functions. The correlation function decays like a power law. That formula shows that distributed order fractional Pearson diffusions exhibits long range dependence.     

The Edge Correlation of Random Forests

The conjecture was made by Kahn that a spanning forest F chosen uniformly at random from all forests of any finite graph G has the edge-negative association property. If true, the conjecture would mean that given any two edges ε₁ and ε₂ in G, the inequality \mathbbP(e₁ ? F, e₂ ? F) ￡ \mathbbP(e₁ ? F)\mathbbP(e₂ ? F){{\mathbb{P}(\varepsilon_{1} \in \mathbf{F}, \varepsilon_{2} \in \mathbf{F}) \leq \mathbb{P}(\varepsilon_{1} \in \mathbf{F})\mathbb{P}(\varepsilon_{2} \in \mathbf{F})}} would hold. We use enumerative methods to show that this conjecture is true for n large enough when G is a complete graph on n vertices. We derive explicit related results for random trees.