减少化验次数的一个优化模型

依据数学理论证明在一定条件下，可以减少化验次数；并给出了选择方法；建立了一个减少化验次数的优化模型。     

两个组合恒等式的概率证明

给出了两个组合恒等式的概率证明，扩展了已知的结果。     

Method for Risky Multiobjective Group Decision-Making and Its Application

The multiobjective group decision-making problem under risk is common in reality. This paper focuses on the study about risky multiobjective group decision-making problem where the index value is not certain. We give indexes classifying method and index normalizing formula of this type problem. By building objective function that minimizes general weighted distance from every alternative to the relatively best and worst alternative, the optimal membership degree of every decision-maker to every alternative can be obtained, and by building another objective function that minimizes general weighted distance from the optimal membership degree of every decision-maker to every alternative to the group optimal alternative and the group inferior alternative, the optimal membership degree of every decision-maker to every alternative can be obtained, which are both based on probability theory and fuzzy theory. Aftermost a model is established which collects group preferences. This method provides a new idea and     

一种考虑补偿信用风险资本要求的算法

基于现行法定资本体制不考虑信用投资组合的多样化和限制空头信用风险头寸的补偿能力，设计了一种考虑补偿的信用风险资本要求的计算方法．该算法根据信用等级决定风险权重，可以更精确地测定信用风险资本．采用期限分段方法建立一个期间结构，区分当前和远期信用风险，考虑多头与空头信用风险头寸间的补偿．     

概率论与数理统计课程教学改革初探

结合教学实践,从教材和教学模式两方面探讨了概率论与数理统计的教学改革。     

一个Markov转移概率函数的确定

利用柯尔莫哥洛夫向前方程计算了电话呼唤次数的随机过程的转移概率函数。     

二维正态分布矩形区域概率质量的局部单调性

研究了二维正态分布矩形区域概率质量当矩形区域中心沿某特定方向平移时的局部单调性。同时给出了一簇矩形区域,其中任一矩形区域的概率质量对正态分布相关系数的绝对值具有局部单调性。     

搜索反应时间服从指数分布时坦克武器系统的射击效率分析

该文探讨了在非对抗和１—１对抗条件下坦克武器系统的射击效率分析问题。该文的特点在于它把坦克搜索系统与火控系统有机地结合起来，提出了评价坦克武器系统效率的指标，并建立了可用于分析坦克（包括携带炮弹数不限、有限和考虑炮弹飞行的情况）搜索系统和火控系统效率参数的数学模型与公式。     

关于古典概率的几种解法

通过介绍古典概率的计算方法,使学生在解题过程中能正确分析题意,运用适当的方法获得准确的答案,从而提高分析问题和解决问题的能力.     

The Young-Householder algorithm and the least squares multidimensional scaling of squared distances

It is shown that replacement of the zero diagonal elements of the symmetric data matrix of approximate squared distances by certain other quantities in the Young-Householder algorithm will yield a least squares fit to squared distances instead of to scalar products. Iterative algorithms for obtaining these replacement diagonal elements are described and relationships with the ELEGANT algorithm (de Leeuw 1975; Takane 1977) are discussed. In large residual situations a penalty function approach, motivated by the ELEGANT algorithm, is adopted. Empirical comparisons of the algorithms are given.An early version of this paper was presented at the Multidimensional Data Analysis Workshop, Pembroke College, Cambridge, July 1985. I want to thank Jan de Leeuw and Yoshio Takane for bringing the ELEGANT algorithm to my attention and for clarifying its rationale and notation. My thanks go also to Stephen du Toit for help with the ALSCAL computations reported in Section 7.