Extended Classical Asymptotic Expansions in the Case of Gaussian Limit Distribution

Let X, X ₁, X ₂,... be a sequence of independent and identically distributed random variables with common distribution function F. Denote by F _n the distribution function of centered and normed sum S _n . Let F belong to the domain of attraction of the standard normal law , that is, lim F _n (x)= (x), as n , uniformly in x . We obtain extended asymptotic expansions for the particular case where the distribution function F has the density p(x) = cx ^––1 ln(x), x > r, where 2, , c > 0, and r > 1. We write the classical asymptotic expansion (in powers of n ^–1/2) and then add new terms of orders n ^–/2 ln n, n ^–/2 ln^-1 n, etc., where 0.     

Geometric Containment Orders: A Survey

A partially ordered set (X, ) is a geometric containment order of a particular type if there is a mapping from X into similarly shaped objects in a finite-dimensional Euclidean space that preserves by proper inclusion. This survey describes most of what is presently known about geometric containment orders. Highlighted shapes include angular regions, convex polygons and circles in the plane, and spheres of all dimensions. Containment orders are also related to incidence orders for vertices, edges and faces of graphs, hypergraphs, planar graphs and convex polytopes. Three measures of poset complexity are featured: order dimension, crossing number, and degrees of freedom.     

A Characterization of the Riesz Probability Distribution

Bobecka and Wesolowski (Studia Math. 152:147–160, [2002]) have shown that, in the Olkin and Rubin characterization of the Wishart distribution (see Casalis and Letac in Ann. Stat. 24:763–786, [1996]), when we use the division algorithm defined by the quadratic representation and replace the property of invariance by the existence of twice differentiable densities, we still have a characterization of the Wishart distribution. In the present work, we show that when we use the division algorithm defined by the Cholesky decomposition, we get a characterization of the Riesz distribution.     

关于二项分布的极限分布的一个注记

讨论了用泊松分布和正态分布近似表示二项分布的精确程度问题,对于泊松分布,指出了它对二项分布B(n,p)的概率值的近似精确与否基本上只依赖于参数p而不依赖于n,并说明了经验条件“np≤5”的不确切.     

常见连续型统计分布的一点注记

正态分布是概率论与数理统计中最重要的一个分布,本文讨论了常见的连续型统计分布与标准正态分布间的关系,结果表明:几乎所有的常见连续型统计分布都是标准正态分布的函数.     

关于伽马分布及相关分布性质的一点研究

主要研究伽马分布的性质,并通过对伽马分布可加性的研究.得到由指数分布通过伽马分布构造卡方分布和均匀分布的方法,通过本文可以加深对伽马分布和其它常见连续性分布关系的认识.     

Computing the Distribution of the Maximum of Gaussian Random Processes

The aim of this paper is to propose an Splus program to calculate bounds for the distribution of the maximum of a smooth Gaussian process on a fixed interval. We generalize the results given in Azaïs et al. (1999) to the case of the absolute value of the Gaussian process and to the non-homogeneous case. Our method relies on calculations of the first three terms of the Rice's series. Some applications are given to illustrate the method and the performances of the program. The corresponding Splus functions are available at the URL: http://www.lsp.ups-tlse.fr/Cdelmas/software.html.     

A result of shepp

A simple direct proof is given of a result due to L. Shepp that a certain function of two independent normal random variables with zero means and possibly unequal variances is itself normal.     

Asymptotic Distribution of a Kind of Dirichlet Distribution

The Dirichlet distribution that we are concerned with in this paper is very special, in which all parameters are different from each other. We prove that the asymptotic distribution of this kind of Dirichlet distributions is a normal distribution by using the central limit theorem and Slutsky theorem.     

On the Spectral Distribution of Gaussian Random Matrices

We consider the empirical spectral distribution （ESD） of a random matrix from the Gaussian Unitary Ensemble. Based on the Plancherel-Rotaeh approximation formula for Hermite polynomials, we prove that the expected empirical spectral distribution converges at the rate of O（n^-1） to the Wigner distribution function uniformly on every compact intervals [u,v] within the limiting support （-1, 1）. Furthermore, the variance of the ESD for such an interval is proved to be （πn）^-2 logn asymptotically which surprisingly enough, does not depend on the details （e.g. length or location） of the interval, This property allows us to determine completely the covariance function between the values of the ESD on two intervals.     

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．     

两个非独立正态变量的联合分布不服从二维正态分布的示例

围绕着两个非独立的正态变量的联合分布一定服从二维正态分布的问题,从不同角度给出了反例,并加以论证.     

普阿松分布的极限分布

本文主要阐明概率论中三个重要分布之间的关系 ,重点证明了普阿松分布的极限分布是正态分布     

正态分布参数函数的最小最大估计

The estimation of the functionθ=exp{αμ bσ2} of parameters (μ,σ2) in normal distribution N(μ,σ2) is discussed. And when the prior distributions ofμandσ2 are independent, under the loss function L(θ,δ)=(θ-1×δ-1)2, the Bayesian estimation and the existence and computing method on minimax estimation are deeply discussed.     

Regressional Characterization of the Generalized Inverse Gaussian Population

A characterization of the generalized inverse Gaussian population is obtained from a condition of constant regression of a suitable statistic on a linear one.     

基于正态分布的广义Liouville分布

对基于正态分布的广义Liouville分布族的性质和特征进行了研究,包括它的边缘分布,条件分布,特征函数和矩等,并对它们的正态性和独立性以及在回归分析中的应用展开了讨论     

Goodness-Of-Fit Tests for the Exponential and the Normal Distribution Based on the Integrated Distribution Function

This paper presents new omnibus tests for the exponential and the normal distribution which are based on the difference between the integrated distribution function (t) = _t (1 - F(x)dx and its empirical counterpart. The procedures turn out to be serious competitors to classical tests for exponentiality and normality.     

Buffer phenomenon in systems with one and a half degrees of freedom

The buffer phenomenon is established for some classical mechanics problems that are described by pendulum-type equations with time-periodic small additive terms. This phenomenon is as follows: the systems under consideration can have an arbitrary fixed number of stable periodic modes if the system parameters are properly chosen.     

抽样分布渐近正态近似计算中最小自由度的估计与教学思考

通过等距采样和随机采样方式分别计算不同自由度下抽样分布与其渐近正态分布在分布函数上的绝对偏差,并建立绝对偏差平方和均值或平均绝对偏差与抽样分布自由度之间的非线性回归方程,结合各种直观有效的图形趋势分析,最终给出满足指定偏差要求时可用正态分布近似计算的最小自由度的估计.     

Distribution of the Logarithm of the Order of a Random Permutation

We consider the convergence rate of the distribution of the logarithm of the order of a random permutation on subsets of the symmetric group to the normal law.