线性模型参数的聚集改进广义Liu估计的相对效率

对于聚集数据的线性模型,给出了参数β的聚集改进广义Liu估计,研究了该估计相对于最小二乘估计及相对于Peter—Karsten估计的两种相对效率,并得到了相对效率的上界.实例分析表明,聚集改进广义Liu估计比最小二乘估计、Peter—Karsten估计更有效.     

我国通货膨胀的非参数回归模型

本文首先讨论非参数回归模型的局部核权最小二乘估计 ,然后建立我国通货膨胀非参数回归模型 ,最后研究了反映出口与通货膨胀关系的弹性系数     

协方差阵估计的比较

本文在一般线性回归模型误差异方差情况下，通过计算机模拟对回归系数最小二乘估计的协方差矩阵的估计进行了比较。结果表明，当样本大小大于50时，回归系数的最小二乘估计具有较高的估计精度；其协方差矩阵的五种估计以普通最小二乘估计的协方差矩阵为最优。     

残差自回归半参数模型的参数估计

研究了残差自回归半参数模型的参数估计,运用广义最小二乘法估计了参数部分．用随机模拟说明了运用广义最小二乘（GLSE）估计出的参数部分优于运用普通最小二乘法（OKSE）得到的估计．     

可加性模糊系统(AFS)权系数W的最小二乘估计

本文对模糊规则的前件进行非模糊化,从而给出了被广泛应用于现代控制理论中的可加性模糊系统（ＡＦＳ）权系数Ｗ 的最小二乘估计。     

泛最小二乘法的改进及其容许性

考虑线性回归模型,当设计阵呈病态或秩亏时,我们用泛最小二乘法给出参数的估计,并证明其容许性;然后针对泛最小二乘估计对最小二乘估计过度压缩的缺点加以改进,使之更合理,有效.     

岭估计优于最小二乘估计的条件

本文讨论在均方误差意义下岭估计优于最小二乘估计的问题，给出了岭估计优于小最小二乘估计的必要条件及较一般的充分条件。     

统计线性模型(V)

四、估计问题(续)最小二乘估计的性质及对σ2的估计 上一讲本节中谈了两个问题: 1°最小二乘估计的性质, 2°对 σ2的估计.其中1°是一个纯理论的结果,即最小二乘估计在全体线性无偏估计中是最优的──它的方差最小.这也就是我们为什么用最小二乘估计量来估计的根据.在2°中,我们找到了σ2的一个无偏估计Q(β)/(N-r);为方便计,记为 2.其中的β 是正规方程( 4—3)的任一组解,而r是所谓矩阵X的秩.对于矩阵的秩.我们没有进行一般的讨论,只就本讲座的范围,给出了r与矩阵X的列数m间的关系,这就是(4—6). σ2体现了模型中误差的大小,因此找出σ2…     

大数据下基于体积抽样的异常点诊断及估计问题

处理大规模数据集时,抽样是一种很受欢迎的有效方法。体积抽样作为一种联合抽样的方法,它是按照与矩阵平方的行列式成比例进行抽样。该方法在线性回归模型背景下能得到参数的无偏估计。然而也容易受到异常点的影响,本文感兴趣的是体积抽样受异常点影响的程度。基于数据删除模型和均值漂移模型构建统计量进行异常点诊断,结果发现体积抽样方法在某些情况下极易受异常点影响。但是在给定损失的条件下,比独立同分布抽样所需的子样本量更小,在此基础上,提出样本量的自适应选择方法。作为体积抽样的扩展,杠杆值体积抽样同样可以得到普通最小二乘线性模型参数的无偏估计,一个有趣的发现是使用杠杆值体积抽样,等权最小二乘估计结果比非等权最小二乘估计效果好。     

基于小波测量预处理的最小二乘估计

以离散小波变换为工具,利用其特有的低通滤波属性和有效的抑制测量噪声的能力,将其与传统的最小二乘估计相结合,建立了一种基于小波测量预处理的改进最小二乘估计新方法,获得了比传统最小二乘估计好得多的估计结果;计算机仿真验证了算法的有效性.     

Alternative proofs for inequalities of some trigonometric functions

By using an identity relating to Bernoulli's numbers and power series expansions of cotangent function and logarithms of functions involving sine function, cosine function and tangent function, four inequalities involving cotangent function, sine function, secant function and tangent function are established.     

一类函数增量的局部渐近性质

文章研究了一类函数增量的局部渐近性质,发现这类函数增量的局部渐近性对于一元实函数,二元及多元实函数,向量值函数和复函数在一定条件下都会保持不变,进而提出了两个相关的猜想:此类函数增量的渐近性是关于函数变换的拓扑不变量。     

关于模糊值凸函数的共轭问题的研究

在Goetschel-Voxman所引进的序关系下,首先给出了模糊值凸函数的共轭函数的概念,并证明了模糊值凸函数的共轭函数是模糊值凸函数等相关性质;其次给出了模糊值凸函数的二次共轭函数的概念,并证明了相关性质;最后讨论了模糊值凸函数的共轭与下卷积之间的关系,证明了两个模糊值凸函数的共轭函数与其下卷积的共轭函数之间的等式关系.     

代数体函数的导函数的级

讨论了代数体函数的导函数,并首次证明了它也是代数体函数,证明了有限级整代数体函数的级等于其导函数级.     

极大值函数的一类光滑逼近函数的性质研究

针对极大值函数的一类光滑逼近——凝聚函数,对其作进一步研究.指出凝聚函数的一阶导数对光滑参数取极限时恰好得到极大值函数的一个次梯度,从而凝聚函数不仅可以一致逼近极大值函数,而且该函数富含极大值函数的一阶信息,可很好的刻画极大值函数的一阶特征.进一步,对光滑逼近函数的光滑参数做简单分析,得到的结果揭示了光滑参数的变动对凝聚函数的影响.并分别以正值函数及绝对值函数为例,对所得到的结果给出几何说明.     

On the generation of false images of linear Boolean functions

The following game (test) problem is considered. Suppose that Alice has a function. Bob believes that her function is linear, which is not the case. For an arbitrary linear function, Alice needs to make Bob believe she has this particular function by showing him its actual values. Alice’s function can be constructed beforehand or can be random. The task is to estimate the required size of the domain of Alice’s function (its subfunction).     

加权正则函数的一些性质

正则函数是Clifford分析中的一类重要函数,加权正则函数是正则函数的进一步发展,也是一类重要的函数,因此具有一定的研究意义.在正则函数的研究基础上,并利用加权正则函数自身的性质,讨论了加权正则函数的平均值定理,最大模原理,Weierstrass定理以及一些其它推论.     

Multifunctional assessment and zoning of crop production system based on set pair analysis-A comparative study of 31 provincial regions in mainland China

In this study, we present a multifunctional indicator system for the performance evaluation of crop production system by set pair analysis method. Five functions were summarized to represent the multifunctionality of crop production system, including production function, supply function, ecological function, security function and economic function. Setting a case study of 31 provincial regions in mainland China, this paper conducted a comparison of each function in different regions, divided into 9 groups by cluster analysis. The results show that: the levels of multifunction in most regions are under a low degree balance; the production function has a high coordination with the economic function and security function in China; the supply function is lowly correlated with the other functions, especially the economic function has negative correlation with the supply function to some extent; some relevant policies and suggestions are deduced for multifunctional improvement. It is concluded that the multifunctional indicators and the set pair analysis method can serve as an effective method for the assessment of crop production system.     

A class of filled functions for finding global minimizers of a function of several variables

This paper is concerned with filled function methods for finding global minimizers of a function of several variables. A class of filled functions is defined. The advantages and disadvantages of every filled function in the class are analyzed. The best one in this class is pointed out. The idea behind constructing a better filled function is given and employed to construct the class of filled functions. A method is also explored on how to locate minimizers or saddle points of a filled function through only the use of the gradient of a function.The authors are indebted to Dr. L. C. W. Dixon for stimulating discussions.     

Algorithm of Barrier Objective Penalty Function

In this paper, an algorithm of barrier objective penalty function for inequality constrained optimization is studied and a conception–the stability of barrier objective penalty function is presented. It is proved that an approximate optimal solution may be obtained by solving a barrier objective penalty function for inequality constrained optimization problem when the barrier objective penalty function is stable. Under some conditions, the stability of barrier objective penalty function is proved for convex programming. Specially, the logarithmic barrier function of convex programming is stable. Based on the barrier objective penalty function, an algorithm is developed for finding an approximate optimal solution to an inequality constrained optimization problem and its convergence is also proved under some conditions. Finally, numerical experiments show that the barrier objective penalty function algorithm has better convergence than the classical barrier function algorithm.