五元联系数在学生成绩发展趋势分析中的应用

在利用集对分析中的五元联系数描述给定范围内学生成绩为优、良、中、及格和差五类中各类所占的比例时,该五元联系数同时隐含着该批学生成绩的当前态势和潜在的发展趋势,通过偏联系数计算,可以揭示出其中潜在着的发展趋势.从而为更好地开展下一阶段教育提供了客观依据.     

桑蚕种良卵率调查中样本间卵粒数的偏差控制方法

桑蚕种良卵率是蚕种质量检验的重要指标,控制样本间卵粒数的偏差是保证良卵率准确性的关键。通过对桑蚕卵粒重的调查分析,得出其分布服从正态分布。若从一批蚕种中抽取1g卵作为样本,则来自同一总体的2个样本的卵粒数之差不超过16粒,其置信概率为95%;当置信概率取99%时,两个样本的卵粒数之差不超过21粒。文章为蚕业生产提供了一种实用的克卵粒数偏差控制方法。     

统计方法在大学英语四级成绩分析中的应用

本文以本校2005级本科生为调查对象,考察影响大学生四级考试（College English Test Band Four,简称CET-4）CET-4成绩的因素。采用Bootstrap方法与T检验方法,分析得出：来自城市和农村的大学生CET-4成绩存在差异;大一大二四学期英语水平不同的人CET-4成绩存在显著差异;文、理科大学生CET-4成绩也存在差异。进一步,我们运用多元统计中回归分析的方法建立了CET-4成绩的回归模型,并利用Logistic模型对四级通过率进行了预测。     

大学生在校成绩与高考成绩的统计分析

通过对合肥工业大学机械与汽车工程学院07级毕业生的高考成绩与本科期间在校成绩进行统计分析,研究发现高考成绩与在校的学期成绩有较大的相关性,且高考成绩对在校学期成绩的影响因专业的不同而不同.同时对部分代表性课程与高考成绩、已学课程成绩进行了统计建模,并就大学学习的特点及影响大学成绩的各个因素进行了讨论.     

从改变量函数到微分(Ⅱ)

基于无穷小量是极限为零的函数这一事实,视△y=f（t）-f（x）和△x=t-x为在点x的任一邻域上有定义的改变量函数,可准确地诠释导数f＇（x）作为二函数之商的极限的本性,进而自然地揭示微分df（x）=f＇（x）dx作为一个普通函数的实质．     

影响中学生数学成绩因素的通径分析

用绵阳市 6 0 0名初中学生构成样本 ,采用J¨oreskog提出的线性结构方程式模型理论 ,以及J¨oreskog和S¨orbom开发的软件系统LIREL8.3对调查的资料进行分析。结果表明 :用 2 0个显在变量和 10个隐在变量研究影响中学生数学成绩的因素 ,最后有 13个显在变量入选构成外生模型 ,有 7个隐在变量变量入选构成内生模型。Homeback、Attitud、Views、EQ、IQ和Class这 6个内生的隐在变量对中学生的数学成绩均存在不同程度的影响 ,其中以Attitud、Homeback、IQ和EQ对数学成绩的贡献最大。内生模型中 6个内生的隐在变量的R2 的平均值为 0 .2 0 ,该模型中数学成绩(Mathachi)这一变量中可预测的方差占到了 4 1% (R2 =0 .4 1) ,将这两者结合起来考虑 ,所建立的模型应当是比较有说服力的。     

2008年中国足球超级联赛成绩与技术统计的因子分析

通过查阅资料,收集、并整理了2008年中超联赛15支队伍210场比赛的技术统计.运用因子分析法对比赛成绩与技术统计的关系进行了研究,命名并分析影响比赛成绩的5个因子.旨在揭示统计指标与比赛成绩的特点与规律,为我国足球运动的理论与训练提供科学依据。     

从改变量函数到微分(Ⅰ)

基于无穷小量是极限为零的函数这一事实,视Δy=f（t）-f（x）和Δx=t—x为在点x的任一邻域上有定义的改变量函数,可准确地诠释导数f（x）作为二函数之商的极限的本性,进而自然地揭示微分df（x）=f（x）dx作为一个普通函数的实质．     

Poisson回归模型及Lasso变量选择在研究生成绩影响因素分析中的应用

探究学生成绩的主要影响因素是研究学生成绩评价体系中一个重要方向.依据某大学三年研究生入学信息数据,利用方差分析研究其入学成绩的影响因素;利用Poisson回归模型结合Lasso变量选择方法,探究入学专业课成绩、培养类别等对研究生学业课程成绩是否有显著影响,其结果为研究生院的招生工作提供了数据支持,对大学教学方法改进、教学质量提高和新生录取工作具有十分重要的现实指导意义.     

不可压缩粘弹性流体力学方程组局部适定性

在初始形变张量初值为Hlder连续、速度初值为L^p可积（p〉d,其中d是空间维数）的条件下证明了全空间上的不可压缩粘弹性流体力学方程组的解是局部适定的.     

桑蚕种样本良卵数偏差控制方法研究

桑蚕种良卵率是蚕种质量检验的重要指标,控制样本间良卵数偏差是保证良卵率准确性的关键.运用概率理论,针对目前生产上绝大多数批次的良卵率p 99%情况,在置信概率为95%下,样本卵粒数在1601~1700、1701~1800、1801~1900、1901~2000区间内时,给出了样本良卵数的容许偏差分别为16、17、17、18粒;当良卵率p在99%~90%其他区间时,也分别给出了不同克卵粒数情况下样本良卵数的容许偏差.同时在置信概率为90%下,给出了不同克卵粒数情况下样本良卵数的容许偏差.结合实际调查结果,对理论方法进行了比较,确认了理论方法的准确性,为蚕业生产提供了一套控制良卵数偏差的可行性方案.     

基于集团属性的计数型抽样检验及其研究进展

本文以家蚕微粒子病集团母蛾抽样检验的历史背景为线索,介绍了基于集团属性的计数型抽样检验的概念、OC函数及其算法的研究进展,以及在农业产品质量控制中的应用和意义,同时指出集团抽样检验的应用前景和今后需要解决的问题。     

金融市场波动性CARR类模型与GARCH类模型的比较研究

在CARR模型基础上提出它的衍生模型ABSCARR模型,并利用广义误差分布(GED)讨论了它们的条件残差分布问题,最后运用CARR类模型对高频金融时间序列进行了实证分析.研究结果表明:CARR及其衍生模型在高频金融时间序列的价格波动性捕捉方面具有良好的效果,而GED的引入可以很好的用于分析CARR模型具体的条件分布情况,而CARR模型的条件残差分布应该并非只有指数分布与威布尔分布两种形式.     

Differential games results for military expenditures of unequal antagonists in the third world

In developing countries, resources are scarce and military expenditure can hinder development. Thus, allocation of resources between defense and civilian sectors is an important decision. Also, in developing countries, most defense spending is related to regional conflicts where one frequently encounters unequal participants (e.g., India—Pakistan, Iran—Iraq, China—Vietnam). In such situations, the bigger power aspires to be the regional leader, and allocates resources to the defense sector accordingly.

A model incorporating the two above mentioned stylized facts has been examined by Deger and Sen [1] in two different ways. They first look at the problem from a single country's point of view, which takes the other's reaction function as given, and show that in the long run, military expenditures and armament stock levels will exhibit stability. Next, they formulate the problem as a noncooperative differential game in which each country assumes knowledge of the other country's welfare function, and conjecture that stability will once again be exhibited. The present paper attempts to verify that conjecture using a simplifying assumption which is necessary to be able to qualitatively solve the problem. This simplifying assumption does not change the results for the optimal control models, however, the conjecture is not valid for the simplified differential game model.     

A model for the evolution of parasite-host interactions based on the Maculinea-Myrmica system: Numerical simulations and multiple host behavior

We present a mathematical model of parasite-host interactions inspired by the Maculinea-Myrmica system. Numerical simulations of the model were conducted in order to access the possibility of stable multiple host behavior in the model. Results indicate that multiple host behavior can be observed under natural conditions, although a division of the original parasite population into separate subpopulations, each adapted to one distinct host, is expected. Transitions from single to multiple host behavior are expected to occur if the relative host species abundances change or host’s tolerance increases. Further model development and analysis are required to extend these results.     

The Emergence of Racial Segregation in an Agent-Based Model of Residential Location: The Role of Competing Preferences

Models of segregation dynamics have examined how individual preferences over neighborhood racial composition determine macroscopic patterns of segregation. Many fewer models have considered the role of household preferences over other location attributes, which may compete with preferences over racial composition. We hypothesize that household preferences over location characteristics other than racial composition affect segregation dynamics in nonlinear ways and that, for a critical range of parameter values, these competing preferences can qualitatively affect segregation outcomes. To test this hypothesis, we develop a dynamic agent-based model that examines macro-level patterns of segregation as the result of interdependent household location choices. The model incorporates household preferences over multiple neighborhood features, some of which are endogenous to residential location patterns, and allows for income heterogeneity across races and among households of the same race. Preliminary findings indicate that patterns of segregation can emerge even when individuals are wholly indifferent to neighborhood racial composition, due to competing preferences over neighborhood density. Further, the model shows a strong tendency to concentrate affluent families in a small number of suburbs, potentially mimicking recent empirical findings on favored quarters in metropolitan areas. This paper was the first runner-up for the 2004 NAACSOS best paper award. Kan Chen is an associate professor in the Department of Computational Science at the National University of Singapore. His recent research interests include spatial and temporal scaling in driven, dissipative systems, applications of self-organized criticality, dynamics of earthquakes, and computational finance. He received a B.Sc. in physics from the University of Science and Technology of China (1983) and a Ph.D. in physics from Ohio State University (1988). Elena Irwin is an associate professor in the Department of Agricultural, Environmental, and Development Economics at Ohio State University. Her research interests include land use change, urban sprawl, household location decisions, and the value of open space. This research applies theory and modeling techniques from the fields of spatial and regional economics, including the application of spatial econometrics and geographic information systems (GIS). She received a B.A. in German and History from Washington University in St. Louis (1988) and a Ph.D. in Agricultural and Resource Economics from the University of Maryland (1998). Ciriyam Jayaprakash is a Professor in the Department of Physics at the Ohio State University. His recent research interests include spatially extended nonlinear systems including fully-developed turbulence, genetic regulatory networks, and applications of statistical mechanical techniques to financial and social sciences. He received an M.S. in Physics from the Indian Institute of Technology, Kanpur (1973), an M.S. in Physics from Caltech (1975) and a Ph.D in Physics from the University of Illinois at Urbana-Champaign (1979). Keith Warren is an assistant professor in the College of Social Work at Ohio State University. His research interests focus on interpersonal interactions in the development and solution of social problems, particularly those of urban areas such as segregation, substance abuse and increased interpersonal violence. He received a B.A in Behavioral Science from Warren Wilson College (1984), and a Ph.D. in Social Work from the University of Texas at Austin (1998)     

The optimal runner on the royal road

Assuming a simple biophysical model and using the Carathéodory method, we find the optimal strategy to run or swim a race.     

基于年龄分组的单种群收获模型及稳定性分析

本文建立了一种按年龄分组的单种群收获模型 ,详细分析了该模型的稳定性 ,并得到了该模型临界稳定的充分必要条件 ,还得到了在临界稳定平衡中的极限状态解及临界稳定的生物学意义     

Tournament Competition and its Merits for Coevolutionary Algorithms

In a competitive coevolutionary algorithm, the competition strategy, selecting opposing individuals, has a great influence on the performance of the algorithm. Therefore, a good competition strategy is crucial for an effective and efficient competitive coevolutionary algorithm. In this paper, we propose a new competition strategy called tournament competition. We investigate its characteristics and merits when applied to adversarial problems. To verify the performance of the new strategy, we first classify adversarial problems into two types: solution-test problems and game problems. We apply the strategy to both types. A set of experiments compares our strategy to several existing competition strategies and analyzes several aspects such as solution quality, evolution speed, and coevolutionary balance. The experimental results indicate that some of the existing competition strategies give different patterns according to problem types. The results also support that the proposed tournament strategy has the potential for finding good solutions, regardless of problem types.