线性模型中的随机加权逼近

本文利用随机加权的思想,给出了线性模型中回归系数的可估函数LS估计的误差分布的一种估计方法。这种方法比通常的正态逼近方法更精确,并且由它给出的方差估计具有模型稳健性。     

随机加权法在密度估计中的应用

本文给出了概率密度函数的椭机加权估计，证明了承机加权分布与密度估计的标准化估计量的分布的逼近精度可达到ｏ（１／√ｎｈ），并且构造了Ｅｆｎ（ｘ）的置信区间，其中ｆｎ（ｘ）为密度函数的核估计，ｈ＝ｈｎ炒估计的窗宽。     

线性模型中随机加权自助法的大样本研究 *

讨论了逼近线性模型中M估计分布的随机加权自助法 ,在一般的条件下证明了这种方法的强有效性 .     

方差估计的随机加权逼近及随机加权法在抽样调查中的初步应用

设X_1,X_2,…是一组独立同分布的随机变量序列,其方差μ_2是待估参数,当x_4,i=1,2,…,n,给定下,用D_n=sum from i=1 to n(V_(ni)(X_i-sum from i=1 to n(V_(ni)X_i)~2)-1/n sum from i=1 to n(X_i-X)~2的条件分布来渐近T_n=(1/n)sum from i=1 to n(X_i-X)~2-μ_2的分布。这里D_n中的V_(ni),i=1,2,…,n,是服从 Dirichlet分布D(4,4,…,4)的随机变量。若记 F_n和F_n~*分别是T_n/(VarT_n)~(1/2)的分布和D_n/(Var~*D_n)~(1/2)的条件分布,其中Var~*D_n是关于X_1,X_2,…的条件方差。则在一定条件下,对几乎所有的样本序列X_1,X_2,…, (i)n~(1/2)D_n→N(0,μ_4-μ_2~2) 其中μ_4=E(X_1-μ)~4,μ=EX_1 ii)n(1/2)sup|F_n~*(y)-F_n(y)|=0(1) iii) lim sup |F_n~*(y)-F_n(y)|=0 最后,本文对随机加权法如何应用于抽样调查之中,进行了一个初步的尝试。     

随机加权法

在讨论置信区间和估计误差的分布等问题时,Efron 提出了 Bootstrap 方法.为说明 Bootstrap 方法,我们用均值估计的误差分布的计算这个例子说明之.设 X_1,…,X_n～iidF,考虑均值μ_1∫xdF 的估计误差     

线性模型中误差方差估计的随机加权逼近

本文利用对样本随机加权的思想,构造了线性模型中误差方差估计的抽样分布的一种新的逼近,与传统的Boostrop方法相比,随机加权逼近不需要样本独立同分布的假设,在很广泛的条件下,我们证明了新逼近方法的相合性。     

线性模型中M估计分布的随机加权方法逼近

在线性模型中,M估计的渐近分布通常都涉及到不易估计的未知误差分布的某些量,如果要估计渐近方差,就需对这些冗余参数进行估计.利用随机加权方法可以避免先对误差分布中的冗余参数进行估计.给出了当自变量是随机变量时,M估计分布的随机加权逼近,证明了M估计分布的随机加权逼近是一致相合的.当取不同的凸函数,样本大小和随机权时,进一步利用蒙特卡洛方法研究估计分布.研究表明随机权取泊松权时,不仅达到同样的效果而且可以减小计算量.     

变系数部分线性模型的加权随机约束s-K估计

研究随机约束条件下半参数变系数部分线性模型的参数估计问题,当回归模型线性部分变量存在多重共线性时,基于Profile最小二乘方法、s-K估计和加权混合估计构造参数向量的加权随机约束s-K估计,并在均方误差矩阵准则下给出新估计量优于s-K估计和加权混合估计的充要条件,最后通过蒙特卡洛数值模拟验证所提出估计量的有限样本性质...     

具独立误差分布的线性模型的随机加权逼近

本文讨论了误差分布为相互独立但不同分布的线性模型。主要考察模型参数的线性组合的最小二乘估计的估计误差的统计特性并且找到了该误差的相应的随机加权统计量。还证明了在某些条件之下,随机加权分布逼近误差分布的阶数为n~(-1/2)。     

线性模型中M检验原假设分布的随机加权逼近

在线性模型中M-方法可以用于线性假设检验, 其中M检验、Wald检验和Rao的计分型检验是最常用的检验准则. 但是在计算这些检验的临界值时都涉及到未知参数的估计. 在本文中我们利用随机加权的方法来逼近这些检验的原假设分布. 结果表明在原假设和局部对立假设之下随机加权统计量的渐近分布与原检验统计量在原假设之下的渐近分布相同. 因此我们不需要对冗余参数进行估计,利用随机加权的方法就可以得到这些检验的临界值. 而且在局部对立假设之下可以实现对功效的计算. 当取不同的误差分布和不同的随机权时, 我们对本文的方法进行了蒙特卡洛模拟. 结果表明用随机加权方法来逼近原假设分布是非常精确的.     

RESEARCH ANNOUNCEMENTS Qualitative Analysis of Bifurcating Solutions in the Lengyel-Epstein Model

One of the most fundamental problems in theoretical biology is to explain the mechanisms by which patterns and forms are created in the＇living world. In his seminal paper ＂The Chemical Basis of Morphogenesis＂, Turing showed that a system of coupled reaction-diffusion equations can be used to describe patterns and forms in biological systems. However, the first experimental evidence to the Turing patterns was observed by De Kepper and her associates（1990） on the CIMA reaction in an open unstirred reactor, almost 40 years after Turing＇s prediction. Lengyel and Epstein characterized this famous experiment using a system of reaction-diffusion equations. The Lengyel-Epstein model is in the form as follows     

(0,1 ;0)-INTERPOLATION ON INFINITE INTERVAL (-∞, +∞)

In this paper, we study the explicit representation and convergence of (0, 1; 0)-interpolation on infinite interval, which means to determine a polynomial of degree ≤ 3n - 2 when the function values are prescribed at two set of points namely the zeros of Hn(x) and H′n(x) and the first derivatives at the zeros of H′n(x).     

On a class of self-similar processes with stationary increments in higher order Wiener chaoses

We study a class of self-similar processes with stationary increments belonging to higher order Wiener chaoses which are similar to Hermite processes. We obtain an almost sure wavelet-like expansion of these processes. This allows us to compute the pointwise and local Hölder regularity of sample paths and to analyse their behaviour at infinity. We also provide some results on the Hausdorff dimension of the range and graphs of multidimensional anisotropic self-similar processes with stationary increments defined by multiple Wiener–Itô integrals.     

ANALYSIS IN THEORY AND APPLICATIONS Vol. 30, 2014 CONTENTS

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Journal of the Operations Research Society of China Special issue on Operations Research in Healthcare Management

正Guest Editors:Hong Chen,Shanghai Jiao Tong University,Shanghai,China Guohua Wan,Shanghai Jiao Tong University,Shanghai,China David Yao,Columbia University,New York,USA Scope:Healthcare delivery worldwide has been fraught with high cost,low efficiency and poor quality of patient care service.For the field of operations research(OR),healthcare offers some of the biggest challenges as well as best opportunities in     

An alternative mathematical algorithm for the photo- and videokeratoscope

Due to the resolution of current laser technology, the accuracy of corneal topography as measured by the videokeratoscope is no longer adequate to provide precise enough data for refractive surgery or for the fitting of customized contact lenses. We present an algorithm for recovering corneal topography that makes use of modern differential geometric techniques and numerical descent in Sobolev spaces. We believe this algorithm may be used with the photo- and videokeratoscope to increase the accuracy of the recovered corneal topography.     

On a class of Riemann surfaces

It is considered the class of Riemann surfaces with dimT1 = 0, where T1 is a subclass of exact harmonic forms which is one of the factors in the orthogonal decomposition of the spaceΩH of harmonic forms of the surface, namely The surfaces in the class OHD and the class of planar surfaces satisfy dimT1 = 0. A.Pfluger posed the question whether there might exist other surfaces outside those two classes. Here it is shown that in the case of finite genus g, we should look for a surface S with dimT1 = 0 among the surfaces of the form Sg\K , where Sg is a closed surface of genus g and K a compact set of positive harmonic measure with perfect components and very irregular boundary.     

A note on Sobolev orthogonality for Laguerre matrix polynomials

Let {Ln(A,λ)(x)}n≥0 be the sequence of monic Laguerre matrix polynomials defined on [0, ∞) by Ln(A,λ)(x)=n!/(-λ)n∑nk=0(-λ)κ/k!(n-1)! (A I)n[(A I)k]-1 xk,where A ∈ Cr×r. It is known that {Ln(A,λ)(x)}n≥0 is orthogonal with respect to a matrix moment functional when A satisfies the spectral condition that Re(z) ＞ - 1 for every z ∈σ(A).In this note we show that forA such that σ(A) does not contain negative integers, the Laguerre matrix polynomials Ln(A,λ) (x) are orthogonal with respect to a non-diagonal SobolevLaguerre matrix moment functional, which extends two cases: the above matrix case and the known scalar case.     

THE EFFECT OF REFUGE AND PROPORTIONAL HARVESTING FOR A PREDATOR-PREY SYSTEM WITH REACTION-DIFFUSION

A diffusive predator-prey system with Holling-Tanner functional response and no-flux boundary condition is considered in this work.By using upper and lower solu...