Ba空间中的多元加权光滑模与Bernstein Durrmeyer算子

该文引进Ba空间多元加权光滑模,推广L^p空间的DitzianTotik模, 证明该模与K泛函的等价性. 作为应用,讨论定义在单纯形上多元Bernstein-Durrmeyer算子与多元加权光滑模之间的关系. 即以多元加权光滑模为尺度, 建立Bernstein-Durrmeyer算子在Ba空间逼近阶的上界与下界估计.     

多元分离子的构造与应用

本文研究了两类多元分离子的构造方法并提出计算公式.分析了多元分离子与Groebner 基的关系.把所求分离子应用到多元插值问题上,得到在字典序与广义字典序下用分离子表示的多元插值多项式.数值模拟显示了所述方法的有效性.     

广义多元Beta分布

本文把广义Beta分布(Eugene(2001))推广到了多元的情形, 研究了多元Beta分布的矩母函数,以及广义多元Beta分布的边际分布、条件分布及回归函数.给出了他们在次序统计量中的应用.     

基于errors-in-variables的预测模型及其应用

预测是统计学实际应用的一个主要方面,多元线性回归预测是一种很好的方法,广泛地应用在各种实际领域,但其局限性及不足也是明显的。本文以一种新的观点认识数据,即认为变量的观测里均含有误差,同时认为不应删除经慎重选择进来的解释变量。为此,本文提出了一种新的多元预测方法———多元线性EIV预测。本文还考虑了新预测模型的一个实例应用,并从相对偏差上与多元回归预测进行了比较,从而揭示了多元线性EIV预测的先进性及较好的预测精度。     

基于多元泊松模型的累积和控制图设计

多元离散数据在现代制造业中非常普遍,多元泊松控制图常被用来监控此类数据,如MP,MP-CUSUM和MP-EWMA图等.然而,这些控制图都假设数据服从等协方差的多元泊松模型,因为等协方差的多元泊松模型对各个变量之间的相关性有严格的约束,因此应用范围狭窄.本文基于异协方差多元泊松模型,提出GMP-CUSUM累积和控制图.在考虑不同模型,变量偏移个数和偏移大小的情况下,通过蒙特卡洛模拟比较了传统控制图和新控制图GMP-CUSUM的平均运行链长(ARL),证明异协方差多元泊松模型更加适应对多元离散数据的建模,应用范围广,并且新控制图能更快速地检测到异常过程偏移,灵敏度高.     

基于多元线性回归模型的东北地区需水量分析

多元线性回归模型在社会、经济、技术以及众多自然科学研究领域中已被广泛使用,某个地区需水量应与该地区多种因素有关,故选取东北地区的GDP、水库蓄水总量、人均可支配收入、城市绿地面积和工业用水量等5个因素,借助MATLAB软件阐明了多元线性回归模型在东北地区需水量分析中的应用.并通过皮尔森相关性检验、拟合优度检验、F检验、t检验和残差分析的方法对模型进行优化,得到了准确可靠的多元线性回归模型,此模型具有拟合程度高、简易、直观等优势,为多元线性回归模型在需水量分析中的应用提供了有力参考.     

多元统计分析及其应用

自20世纪50年代以来,多元统计的理论、方法及其应用受到了越来越广泛的关注.国内多元统计方向的研究始于20世纪30年代末至40年代初许宝騄在西南联合大学时期.现代大数据分析的需要使得古典多元统计方法不能完全有效地解决当前的实际问题.古典多元统计理论从20世纪70年代以来已经得到了快速发展,本文旨在对国内学者在推广古典多元统计理论及其应用方面的工作进行概述,主要包括:多元统计分析和广义多元统计、一般对称多元分布、增长曲线模型及其他方向.广义多元统计是正态假设下的传统统计方法论的推广.其目的是将传统的统计方法论,如参数估计、假设检验和统计模型等,推广到更大的多元分布族.这个分布族称为椭球等高分布族.一般对称多元分布构成一个更大的多元统计分布族.这个分布族包含了椭球等高分布族作为其特例.增长曲线模型包含了一类统计方法,它允许考虑个体内部及个体之间随着时间变化时的相关关系.异常观察点及影响观察点的辨别是增长曲线模型研究的一个重要方向.     

多元正态分布百分位面和容忍限的估计

针对实践中多个指标的联合分布是多元正态分布或近似多元正态分布的情况,将一元正态分布的置信限及其容忍限的估计推广到多元正态分布的场合,提出了百分位面的置信限和分布的容忍限和及容忍域的估计方法,在一定程度上克服了以往点估计的局限性,该方法具有更大的应用价值.     

多元HotellingT~2检验在高校人才流动归因研究中的应用

田晓明．多元Ｈｏｔｅｌｌｉｎｇ Ｔ２ 检验在高校人才流动归因研究中的应用．对均值差异的显著性检验是心理学研究经常涉及到的问题。当指标之间相互独立且等方差时,我们可以采用方差分析方法进行检验。若指标之间不独立或方差不等时,就应当采用多元Ｈｏｔｅｌｌｉｎｇ Ｔ２ 统计量来进行检验。本文通过理论推导及例证（高校人才流动归因研究）形式对多元Ｈｏｔｅｌｌｉｎｇ Ｔ２ 统计量的应用价值进行了一些探索和研究     

一道三角形中多元最值问题的探讨及触类旁通

从一道高三模拟题出发,深入思考,探讨三角形中多元最值问题的解答策略,最后迁移应用,解答几道典型多元最值问题.     

The Operators of Vector Logic

Vector logic is a mathematical model of the propositional calculus in which the logical variables are represented by vectors and the logical operations by matrices. In this framework, many tautologies of classical logic are intrinsic identities between operators and, consequently, they are valid beyond the bivalued domain. The operators can be expressed as Kronecker polynomials. These polynomials allow us to show that many important tautologies of classical logic are generated from basic operators via the operations called Type I and Type II products. Finally, it is described a matrix version of the Fredkin gate that extends its properties to the many-valued domain, and it is proved that the filtered Fredkin operators are second degree Kronecker polynomials that cannot be generated by Type I or Type II products. Mathematics Subject Classification: 03B05, 03B50.     

混合截尾和定时截尾试验weibull分布抽样方案的比较

混合截尾试验是定时和定数截尾的一种有用的推广。本文研究了Ｗｅｉｂｕｌｌ分布和混合截尾试验的一次抽样方案,并对可靠决策损失函数给出了贝叶斯风险的显式表达式。比较陈和林的模型（１９９９）,我们得混合截尾试验的抽样方案于定时抽样方案。     

随机估计和VDR检验

众所周知统计推断有三种理论:普遍承认的Neyman理论(频率学派),Bayes推断和信仰推断(Fiducial)。Bayes推断基于后验分布,由先验分布和样本分布求得。信仰推断是基于信仰分布(Confidence Distribution,简称CD),直接利用样本求得。两者推断方式一致,都是用分布函数作推断,称为分布推断。从分析传统的参数估计、假设检验特性来看,经典统计推断也可以视为分布推断。通常将置信上限看做置信度的函数。其反函数,即置信度是置信上界的函数,恰是分布函数,该分布恰是近年来引起许多学者兴趣的CD。在本文中,基于随机化估计(其分布是一CD)的概率密度函数,提出VDR检验。常见正态分布期望或方差的检验,多元正态分布期望的Hoteling检验等是其特例。VDR(vertical density representation)检验适合于多元分布参数检验,实现了非正态的多元线性变换分布族的参数检验。VDR构造的参数的置信域有最小Lebesgue测度。     

The measurement of returns to scale under a simultaneous occurrence of multiple solutions in a reference set and a supporting hyperplane

This research theoretically explores the measurement of RTS (Returns to Scale) under a possible occurrence of multiple solutions in DEA (Data Envelopment Analysis). In this study, the occurrence of multiple solutions is classified into Type I and Type II. Type I is an occurrence of multiple solutions in a reference set. Type II is an occurrence of multiple solutions on a supporting hyperplane passing on the reference set. Both Types I and II are very well known among DEA researchers, but previous research has not sufficiently explored a simultaneous occurrence of Type I and Type II in the RTS measurement. The two types of multiple solutions influence a degree of RTS in the DEA measurement. Such a quantitative issue on RTS is examined from the perspective of the Type I and Type II problems. To deal with such difficulties, a new linear programming approach is proposed to identify all efficient DMUs (Decision Making Units) that consist of a reference set, even if multiple solutions occur on the reference set. Based upon the research result, we can identify when multiple solutions of Type I and/or Type II occur on the RTS measurement and how to deal with such difficulties. Our research result makes it possible to measure a degree of scale economies (RTS) under the simultaneous occurrence of Type I and Type II.     

Repeated likelihood ratio test for the variance of normal distribution with unknown mean

This paper considers the repeated likelihood ratio test for the variance of normal distribution with un-known mean. The large deviations for Type I, and Type II error probabilities have been developed.     

Type II sensitivity analysis of cost coefficients in the degenerate transportation problem

This paper focuses on sensitivity analysis of the degenerate transportation problem (DTP) when perturbation occurs on one cost coefficient. The conventional Type I sensitivity analysis of the transportation problem (TP) determines the perturbation ranges for the invariant optimal basis. Due to different degenerate optimal basic solutions yielding different Type I ranges, the Type I range is misleading for the DTP. Type II sensitivity analysis, which determines the perturbation ranges for the invariant shipping pattern, is more practical for the DTP. However, it is too tedious to obtain Type II ranges by enumerating all optimal basic solutions and all primal optimal basic solutions while getting the union of each corresponding Type I ranges. Here, we propose two labeling algorithms to determine the Type II ranges of the cost coefficient. Besides, three lemmas are provided for obtaining the upper bound or lower bound of the Type II ranges of the cost coefficient directly under specific conditions of the DTP. A numerical example is given to demonstrate the procedure of the proposed labeling algorithms and computational results have been provided.     

截尾情形下Weibull分布的最大似然估计

本文利用似然函数的单调性,分别给出了定时截尾和定数截尾情形下Weibull分布中参数最大似然估计(MLE)的数值解法.数据模拟研究表明,所给出的解法效果良好.     

Risk arbitrage in the Nikkei put warrant market of 1989–1990

This paper discusses the Nikkei put warrant market in Toronto and New York during 1989–1990. Three classes of long term American puts were traded which when evaluated in yen are ordinary, product and exchange asset puts, respectively. Type I do not involve exchange rates for yen investors. Type II, called quantos, fix in advance the exchange rate to be used on expiry in the home currency. Type III evaluate the strike and spot prices of the Nikkei Stock Average in the home currency rather than in yen. For typically observed parameters, type I are theoretically more valuable than type II which in turn are more valuable than type III. In late 1989 and early 1990 there were significant departures from fair values in various markets. This was a market with a set of complex financial instruments that even sophisticated investors needed time to learn about to price properly. Investors in Canada were willing to buy puts at far more than fair value based on historical volatility. In addition, US investors overpriced type II puts fixed in dollars rather than the type I's in yen. This led to cross border and US traded (on the same exchange) low risk hedges. The market's convergence to efficiency (that is, all puts priced within transaction cost bands) took about one month after the introduction of the US puts in early 1990 leading to significant profits for the hedgers.     

Type II Matrices and Their Bose-Mesner Algebras

Type II matrices were introduced in connection with spin models for link invariants. It is known that a pair of Bose-Mesner algebras (called a dual pair) of commutative association schemes are naturally associated with each type II matrix. In this paper, we show that type II matrices whose Bose-Mesner algebras are imprimitive are expressed as so-called generalized tensor products of some type II matrices of smaller sizes. As an application, we give a classification of type II matrices of size at most 10 except 9 by using the classification of commutative association schemes.