低汉明重量序列的分布

数n的汉明重量是指n的二进制字符串表达式中数字1的个数,用Ham(n)来表示.低汉明重量序列在密码系统和编码理论中有非常广泛的应用.本文建立了低汉明重量数的序列表达式,并且利用指数和的上界以及Erd?s-Turán不等式证明低汉明重量序列的均匀分布性质,从而确保密码算法的随机性和运算效率.     

Distribution Modulo 1 of Some Oscillating Sequences. III

For some oscillating functions, such as , we consider the distribution properties modulo 1 (density, uniform distribution) of the sequence , . We obtain positive and negative results covering the case when the factor is replaced by an arbitrary function of at most polynomial growth belonging to any Hardy field. (The latter condition may be viewed as a regularity growth condition on .) Similar results are obtained for the subsequence , taken over the primes      

On the Uniformity of Distribution of the Elliptic Curve ElGamal Signature

We show that, under some natural conditions, the pairs (ρ, σ) produced by the elliptic curve ElGamal signature scheme are uniformly distributed. In particular, this implies that values of ρ and σ are not correlated. The result is based on some new estimates of exponential sums. For the ElGamal signature over a finite field, a similar result has been obtained by the second author.     

On the Distribution Behaviour of Sequences

This paper presents results concerning those sets of finite Borel measures μ on a locally compact Hausdorff space X with countable topological base which can be represented as the set of limit distributions of some sequence. They arc characterized by being nonanpty, closed, connected and containing only measures μ with μ(X) = 1 (if X is compact) or 0 ≤ μ(X) ≤ 1 (if X is not compact). Any set with this properties can be obtained as the set of limit distributions of a sequence even by rearranging an arbitrarily given sequence which is dense in the sense that the set of accumulation points is the whole space X. The typical case (in the sense of Baire categories) is that a sequence takes as limit distributions all possible measures of this kind. This gives new aspects for the recent theory of maldistribukd sequences.     

均匀分布与正态分布的教学设计

通过针对一元和二元均匀分布、正态分布实施重点教学,就概率统计的概念和知识点,讨论它们之间的联系及对比,再把分散的内容进行归纳。教学过程注重讲解均匀、正态反映的随机性的区别及各自的应用背景,使学生对这些抽象的概念有一个较生动化的认识．     

小样本的均匀分布参数的区间估计和假设检验

本文提出了小样本的均匀分布参数的区间估计和假设检验方法 .数值模拟计算后效果良好     

On Uniform Convergence of Sequences of Certain Linear Operators

The paper is devoted to the study of the uniform convergence of -summations of Fourier series and discrete Fourier series. We show that by choosing different parameters of these operators different orders of the uniform convergence can be attained on the space C ₂.     

均匀分布区间长度的估计

给出了均匀分布区间长度的估计量以及概率密度,并给出了区间长度的区间估计.     

二维均匀分布矩形区域面积的估计

根据一维均匀分布区间长度的区间估计,探讨了二维均匀分布矩形区域面积的估计问题,并给出了其各种估计.     

Uniform Growth of Polycyclic Groups

We prove that polycyclic groups have uniform exponential or polynomial growth.     

均匀分布参数的无偏估计及其分布

讨论了均匀分布未知参数无偏估计量的分布密度,利用无偏估计量构造出一些新的样本函数,并且利用给出的样本函数推导出了未知参数的置信区间.所得到结果改善了现有的估计,易于计算.     

均匀分布参数的最短置信区间

将求均匀分布未知参数的最短置信区间转化为条件极值问题,给出了均匀分布参数的最短置信区间,推广了原有的结论.     

基于均匀分布参数估计的几个结果

在总体分布为U(0,θ)和U(1θ,2θ)下,给出了未知参数θ,1θ,2θ的一些点估计量,并讨论了这些估计量的性质,对原有结果进行了补充.     

给定密度随机数的生成的通用方法与球面和球体上均匀随机向量的生成法

本文首先介绍基于垂直概率密度表示的,给定密度函数的随机数生成的通用方法;然后介绍球面及球体上均匀随机向量的生成算法。     

On the Linear Complexity and Multidimensional Distribution of Congruential Generators over Elliptic Curves

We show that the elliptic curve analogue of the linear congruential generator produces sequences with high linear complexity and good multidimensional distribution.communicated by: A. MenezesAMS Classification: 11T23, 14H52, 65C10     

Uniform Growth in Groups of Exponential Growth

This is an exposition of examples and classes of finitely-generated groups which have uniform exponential growth. The main examples are non-Abelian free groups, semi-direct products of free Abelian groups with automorphisms having an eigenvalue of modulus distinct from 1, and Golod–Shafarevich infinite finitely-generated p-groups. The classes include groups which virtually have non-Abelian free quotients, nonelementary hyperbolic groups, appropriate free products with amalgamation, HNN-extensions and one-relator groups, as well as soluble groups of exponential growth. Several open problems are formulated.     

两个均匀分布总体标准差比的区间估计

考虑取两个均匀分布总体样本数不等时,两个均匀分布总体标准差比的估计,给出了两个均匀分布总体标准差比的区间估计.     

圆内二维均匀分布的参数估计

研究了圆内二维均匀分布的参数估计,利用次序统计量得到了圆的半径的估计量与置信区间.