查询词典 statistical data analysis

NMath Stats contains a data table class with functions for computing descriptive statistics, such as mean, variance, standard deviation, percentile, median, quartiles, geometric mean, harmonic mean, RMS, kurtosis, skewness, and many more; PDF, CDF, inverse CDF, and random variable moments for a variety of probability distributions, including normal, Poisson, chi-square, gamma, beta, Student's t, F, binomial, and negative binomial; Combinatorial functions, such as factorial, log factorial, binomial coefficient, and log binomial; Multiple linear regression; Basic hypothesis tests, such as z-test, t-test, and F-test, with calculation of p-values, critical values, and confidence intervals; One-way and two-way analysis of variance and analysis of variance with repeated measures; Multivariate statistical analyses, including principal component analysis and hierarchical cluster analysis.

nmath统计包含一个数据表的阶层与职能计算描述性统计，如平均，方差，标准差，百分位，中位数， 25 ％，几何平均数，调和的意思是，有效值，峭度，偏度，还有更多的； PDF格式，民防部队，逆民防部队，并随机变量矩的各种概率分布，包括正常，泊松，卡方检定，伽玛，测试版，学生的吨，男，二项式，并负二项分布；组合的功能，例如阶乘，日志阶乘，二项式系数，并登入二项式；多元线性回归；基本假设测试，如的Z测试， t检验， F检验，计算p值，临界值，和置信区间；之一，双向和双方法方差分析和方差分析与反复的措施；多元统计分析，包括主成分分析和聚类分析。

Factor analysis is a very popular multivariate statistical analysis method. It can summarize some unobservable factors from the test results which can summarize most of the observed data. The factor analysis suggest the DP, furfuran and CO_X can be divided into insulation aging factor, while the hydrocarbon gas and hydrogen were divided into another group which can be called insulation fault factor. The result of the factor analysis

因子分析作为一种常用的多元统计分析方法，可从众多可观测变量中，概括和推论出少数不可观测的潜变量，用最少的因子去概括和解释大量的观测事实；本文将试验过程中90℃下油中溶解气体、绝缘聚合度、糠醛等参量进行因子分析，结果表明：绝缘聚合度、糠醛、CO_x被分为一类，代表绝缘老化因子：烃类、氢气、被分为一类，代表绝缘故障因子；因子分析结果与现场经验一致，相互印证，具有重要意义。

The conditions of low analysis phosphorous fertilizer's manufacture, use and resources utilization were studied base on the inquisitional and statistical data. It shows that the inconsistency between the steady outputs of low analysis phosphorous fertilizer and the rapid demand of all kinds of nutrient for agricultural production can increase the market room of low analysis phosphorous fertilizer. It also indicates that the inconsistency between the phosphate demand of low analysis phosphorous fertilizer and the usability of phosphate rock can bring great development in future.

基于农户调查和统计数据，对我国低浓度磷肥的生产分布状况、使用状况、资源利用状况的分析表明，低浓度磷肥产量的徘徊不前与农业生产对中量元素需求增加的矛盾将拓展低浓度磷肥的市场空间；生产低浓度磷肥适用的磷矿品位与我国磷矿资源条件的吻合，使低浓度磷肥在未来有很大的发展空间。

Based the above research, we chosen 48 cephalometric radiographs of skeletal classⅢocclusion (18-39 years old, ANB4°) and measured with computer assistant Delaire cephalometric analysis. The data were deal with ANOVA analysis through SAS9.0 statistical software. The research divided the cranio-maxillo-facial hard tissue structure feature of skeletal classⅢinto four classifications through Delaire cephalometric analysis including hypo-divergent, hyper-divergent, maxilla normal and glenoid fossa retrocession, nine parameters of four groups have significantly variability through ANOVA analysis(P.05),for example, anterior cranial base angle, sphenoidal angle, percentage of craniospinal area to cranial depth ,percentage of craniofacial area to cranial depth and so on.

在上述研究的基础上，首先选取48例骨性Ⅲ类错牙合畸形患者(18-39岁，ANB角4°)应用Delaire头影测量分析法进行测量，经SAS9.0行ANOVA分析，将骨性Ⅲ类错牙合畸形区分为低角型、高角型、上颌正常型和关节窝后移型四组，四组均数ANOVA分析发现九项分析指标的均数差异均有统计学意义(P.05)，如蝶鞍角、前颅基底角、颅面区比和颅颈区比。

The use of multiple regression statistical analysis of past resettlement of academic achievement, proposed to the examination results and school organizational placement tests prorating method of calculation for the future provide the basis for placement of academic computing, bring it closer to the real student academic level; make full use of students in school to participate in the history of the various test results data, follow-up analysis of our students grew up, give full play to our school-based management advantages of large classes in small classes, guiding students in active academic achievement of self-attribution, searching for their own learning methods to help students develop good study of psychological quality; use RANK function analysis of the end of the academic results of students balanced, using radar chart, combined with the median shows the median and the Analysis of 100 students in the end of academic performance, on the one hand to guide students to focus on their overall academic development, and on the other hand, for students in high-rise 2 1 Division of Arts and to provide selected on the basis; to provide easy-to-EXCEL template to enable teachers to gather in peacetime operations or unit tests in the diagnosis of academic information, so that the teaching timely and detailed feedback loops are conducive to Teacher students to keep abreast of the situation, according to the actual situation of students to adjust teaching objectives and teaching strategies in order to better complete the teaching tasks.

利用多元回归统计分析以往的安置性学业成绩，提出以中考成绩与学校组织分班考试按比例折算的计算方法，为今后的安置性学业成绩计算提供依据，使其更接近学生真实的学业水平；充分利用学生在校参加各次测试的历史成绩数据，跟踪分析学生的学业成长历程，充分发挥我校大班小班化管理模式优势，指导学生对自我学业成就进行积极归因，寻找适合自己的学习方法，从而帮助学生形成良好的学习心理品质；利用RANK函数分析学生终结性学业成绩的均衡性，利用雷达图，结合中位数和百位数图示化分析学生终结性学业成绩，一方面引导学生关注自身全面的学业发展，另一方面，为学生在高一升高二文理分科时提供选择依据；提供操作简单的EXCEL模板，方便教师收集平时作业或单元测验中的诊断性学业成绩信息，使教学反馈环节及时精细，有利于任课教师及时了解学生的学习状况，根据学生实际情况调整教学目标和教学策略，从而更好地完成教学任务。

Tooled by calculating software SPSS15.0, the effective data were analyzed by basic statistical analysis, factor analysis, Pearson correlation analysis and regression analysis.

本研究通过实证分析，得出如下主要结论：第一，港口物流服务质量对顾客感知价值产生重要影响。

The study takes descriptive statistical analysis, factor analysis, correlation analysis, and multiple regressions to do data analysis.

本研究并以叙述性统计，因素分析，相关分析，多元回归分析等统计分析来进行资料分析。

This paper summarizes the background and advantage of data mining, as well as the significance of data mining in the scientific research management of colleges and universities firstly, and then discusses the theory of data mining, association rules and the ideas of main algorithm, analyzes the classic Apriori algorithm and its existing problems as well as the basic solutions. After that, this paper proposes Multi-Dimensional Apriori algorithm which is designed specially for the mining of this paper; Then describes the structure of scientific research data mining system, defines subject-oriented mining tasks, including: mining the data about research projects, mining the data about papers, mining the data about academic writings. The association mining process is implemented by programing, a number of stimulating association rules are found, interpreted and analyzed.

本文首先综述了数据挖掘的研究背景、意义以及数据挖掘技术在高校科研管理中的应用现状和意义，然后在对数据挖掘相关理论、关联规则思想及主要算法进行讨论，分析经典Apriori算法及其存在的问题、基本解决方案后，提出了适合本文挖掘的多维Apriori算法的设计方案，并应用于本文挖掘中；接着论文介绍了科研数据的关联挖掘系统的结构，确定了面向主题的挖掘任务，包括：科研项目信息的挖掘、论文信息的挖掘、学术专著信息的挖掘等；设计了关联规则的实施过程，并通过程序编码得以实现，获得了多条有启发性的关联规则，并对其进行了解释与分析。

In this paper, each of single data stream that is included in data streams has same attributes set as other,the unit of single data stream is tuple,and same attributes set is included in each of these tuples.Reservoir algorithm is used to sample from these single data stream respectively,then some multiple snapshot windows are constructed,the relationship between these single data stream and multiple snapshot windows is bijective mapping,the relationship between attributes that are included in tuple and snapshot windows that are included in relative multiple snapshot windows is bijective mapping,and the relationship between basic windows that belong to same snapshot window and the attribute values that come from different single data stream is bijective mapping as well,that is,these attribute values come from same attribute that is comprised by different single data stream.

针对以元组为单位流入的具有相同属性集的多支单数据流组成的多数据流，提出了分别对每支单数据流进行蓄水池抽样，构造一一对应于各单数据流的若干个多快照窗口，即两者之间是双射关系，可以将多快照窗口串行置于主存中，将元组包含的属性与多快照窗口中的各个快照窗口一一对应，且使得同一快照窗口中的各基本窗口与取自其对应的单数据流的属性值样本一一对应，然后对这些相互独立的样本进行方差分析。

The part that has completed at present is as follows: The first day -- Flex foundation, inclusive content has: The data that Flex of understanding of space of work of Flex Builder Flex Builder of understanding of Flex, Flash, Flash Player, AIR overview compiles package to understand MXML component beforehand binds incident of calm processing user to understand incident object to use ActionScript to add incident dictograph to use HttpService to get data the following day -- package is developed, this part includes following video: The MXML component that shows in DataGrid the use of layout container founds data to be defined oneself realizes Value Object kind found found from definition incident define incident oneself kind define project apply colours to a drawing oneself implement the use that explores Flex Bulider is small doohickey the 3rd day -- work in coordination, include: Data test and verify uses long-range object to transmit data format to change data to accuse from list medium procrastinate put data to use E4X to filter XML deploy Flex and AIR application the 4th day -- add visual component, specific content is as follows: Executive navigation container embeds image embeds font founds the layout that is based on a tie to apply a style to combine Adobe CS3 to make package skin found view status animation for MXML component: Skin of component of implementation of behavior and encode of graph of scale of API of plot of union of specially good effect is patulous package the 5th day -- the exercise of behavior form a complete set of timer of Flash of understanding of advanced development skill and code of give typical examples can come the page of Flex In A Week of Adobe government downloads.

目前已经完成的部分如下：第一天——Flex基础，包括的内容有： Flex、Flash、Flash Player、AIR概述了解Flex Builder Flex Builder工作空间了解Flex预编译组件了解MXML 组件的数据绑定处理用户事件了解事件对象使用ActionScript添加事件侦听器使用HttpService获取数据第二天——组件开发，该部分包括如下视频：在DataGrid中显示数据布局容器的使用创建自定义的MXML组件实现Value Object类创建自定义事件创建自定义事件类自定义项目渲染器探索Flex Bulider的使用小窍门第三天——协同工作，包括：数据验证使用远程对象来传输数据格式化数据从列表控件中拖放数据使用E4X来过滤XML 部署Flex和AIR应用第四天——添加视觉组件，具体内容如下：执行导航容器嵌入图像嵌入字体创建基于约束的布局为MXML组件应用样式结合Adobe CS3制作组件皮肤创建视图状态动画：行为和特效结合绘图API绘制图形编码实现组件皮肤扩展组件第五天——高级开发技巧了解Flash定时器的行为配套练习及示例代码可至Adobe官方的Flex in a Week页面下载。

Now he worked in ajoint venture.

现在他在一家合资企业工作。

More troops in Afghanistan won't change any of the foregoing.

更多的在阿富汗的军队也不会改变之前的状况。