Some Matrix Norm Kantorovich Inequalities and Their Applications

In this article, we first present four matrix norm Kantorovich-type inequalities involving non negative definite matrix. Then, based on these inequalities, we propose four new efficiency criteria and present their lower bounds to make efficiency comparisons between the ordinary least squares estimator and the best linear unbiased estimator in a singular linear model.     

Matrix mean square error comparisons based on a certain covariance structure

For two given estimators of a parameter vector the covariance structure of their difference is used to compare them in terms of their mean square error matrices. The results obtained are applied to the covariance adjustment technique and regression     

特征值与特征向量相关问题的研究

特征值与特征向量是代数研究的中心问题之一,是两个密切相关的概念.在理论和实际应用中,特征值与特征向量都有举足轻重的地位.本文主要是对矩阵特征值与特征向量进行讨论,给出关于特征值与特征向量的相关命题.并对有关特征值与特征向量的题型做了解析以及解题的错误做出相应分析.     

Bayesian palaeoclimate reconstruction

Summary.  We consider the problem of reconstructing prehistoric climates by using fossil data that have been extracted from lake sediment cores. Such reconstructions promise to provide one of the few ways to validate modern models of climate change. A hierarchical Bayesian modelling approach is presented and its use, inversely, is demonstrated in a relatively small but statistically challenging exercise: the reconstruction of prehistoric climate at Glendalough in Ireland from fossil pollen. This computationally intensive method extends current approaches by explicitly modelling uncertainty and reconstructing entire climate histories. The statistical issues that are raised relate to the use of compositional data (pollen) with covariates (climate) which are available at many modern sites but are missing for the fossil data. The compositional data arise as mixtures and the missing covariates have a temporal structure. Novel aspects of the analysis include a spatial process model for compositional data, local modelling of lattice data, the use, as a prior, of a random walk with long-tailed increments, a two-stage implementation of the Markov chain Monte Carlo approach and a fast approximate procedure for cross-validation in inverse problems. We present some details, contrasting its reconstructions with those which have been generated by a method in use in the palaeoclimatology literature. We suggest that the method provides a basis for resolving important challenging issues in palaeoclimate research. We draw attention to several challenging statistical issues that need to be overcome.     

A group sequential test for the inverse Gaussian mean

The present paper deals with the development of a group sequential test when response variable has an inverse Gaussian distribution with known scale parameter.     

快速傅里叶变换在导热逆问题中的应用

本文用通过快速傅里叶变换来进行逆拉氏变换的方法解决导热逆问题。众所周知,内点温度的测量误差往往导致导热逆问题计算的不稳定。作者用频谱分析的概念解决了这一困难。文中提出了测量温度时固体内点不同位置、内点温度的测量误差以及数值计算可采用的时间步长之间的关系。计算实例表明,本文所提供的方法对于瞬变现象的研究有很大的实用价值。     

《黑客帝国》与"中枢神经系统的延伸"

从中枢神经系统延伸的由来、有关“真实性”、实现和未来四个方面论述在电影《黑客帝国》中涉及的数字技术对人类未来社会将可能产生的影响。沃卓斯基兄弟通过电影媒介形式的《黑客帝国》传递了关于未来的讯息:人们正在被深深地卷入一个数字化的世界,人们的选择将决定自己未来的生存方式。     

一类复矩阵的特征性质

本文证明了满足特征条件AA=αA~2的矩阵是A=αA且│α│=1。     

层次分析法在企业筹资决策中的应用研究

将运筹学中的层次分析法应用于企业的筹资决策中,可以减少企业筹资决策的盲目性。本文在建立了筹资决策的层次分析模型的基础上,进行了实证分析并指出了应用此方法应注意的问题。     

Robustness of the linear discriminant function to nonnormality: Johnson's system

The asymptotic distribution of the Errors of Misclassification in using the Linear Discriminant Function is investigated here. The purpose is to study the effects of nonnormality on these errors. The class of distributions considered is the Johnson's system. Each of the three random variables can be transformed to normality. In one particular case numerical evaluations are made, based on which it is possible to recommend whether or not it is necessary to make the transformation prior to classification. In a parallel study, we present similar results for the Edgeworth Series distribution, where the random variables cannot be transformed to normality.