查询词典 multivariate analysis

In the aspect of multivariate modeling, three forms of multivariate GARCHSK model includes vector form, diagonal form and simplify form, are put forward and compared. The famous dimension disaster exists in multivariate GARCHSK model also. Based on Independent Component Analysis, multivariate volatilities of conditional higher moments are estimated through IC-GARCHSK model, which make dynamic relation of higher moment risk between multi-assets to be possible.

鉴于多元 GARCHSK 模型存在严重的"维数灾难"问题，基于独立成分分解技术提出 IC-GARCHSK 模型，给出多元条件高阶矩波动率的估计方法，使得同时度量多个资产高阶矩风险之间动态关系成为可能，为利用组合投资方式分散高阶矩风险的影响奠定了方法论基础。

Students will learn Regression Analysis, Multivariate Analysis of Variance, Discriminate Analysis, Categorical Data Analysis, Principal Component Analysis, Canonical Correlation Analysis, Factor Analysis, Cluster Analysis, and Multidimensional Scaling Analysis.

同学们将在本课程中学习回归分析、多变量共变数分析、鉴别分析、类别资料分析、主成分分析、正典相关分析、因素分析、集群分析、多元尺度分析常用的多变量分析模式。

The multivariate polynomial interpolation problem is a classical mathematical problem that is widely used in many fields, such as multivariate function list, surface design and finite element method. In recent years, multivariate polynomial interpolation has been focused by many people, of which the geometric topological struction of sets of interpolation nodes is also much concerned by us.

多元多项式插值问题是一个十分具有研究意义和实际应用价值的数学问题，它广泛应用于多元函数列表，以及曲面的外形设计和有限元法等诸多领域，近年来多元多项式插值越来越受到人们的广泛关注，其中有关插值结点组的几何拓扑结构问题也是人们十分关注的内容。1998年，梁学章和吕春梅在文献[2]中借助代数几何中的有关理论，进一步讨论了沿无重复分量平面代数曲线上的Lagrange插值问题，并应用Cayley ？

This course gives a brief introduction about some common topics in Multivariate Analysis including Multivariate Normal Distribution, Clustering Analysis, Discrimination and Classification, and Factor Analysis.

本课程主要介绍多变量统计分析领域中的几个常用主题－多变量常态分配、集群分析、判别分析及因素分析。

The statistical difference of proinsulin rather than HOMA index was found among the patients of various Gensini's score group (Gensini's score was examined as a categorical variable classified by tertile values) and significantly stenosed vessels group by means of the results of analysis of covariate variance after adjusting for age, sex and body mass index (p＜0.05), and the partial correlation coefficient between proinsulin level and Gensini's score, the number of significantly stenosed vessels after adjusting for age, sex and body mass index was 0.3156 (P＜0.01) and 0.2752 (P＜0.05) respectively. Multivariate linear regression analysis indicated that the level of proinsulin was positively correlated with the Gensini's score (P＜0.01). The results of multivariate stepwise Logistic indicated that the proinsulin was the independent risk factor for the coronary heart disease, and the odds ratio (95％ confidence interval) was 2.268 (1.253～4.105)(P=0.007), however, the HOMA was refused by the final model.

年龄、性别与体重指数为控制变量的协方差分析结果显示，胰岛素原的水平在不同的Gensini评分组、冠状动脉病变血管数分组中分布有统计学差异(P＜0.05)，偏相关分析示胰岛素原的含量与Gensini评分与病变血管数显著正相关，其偏相关系数分别为0.3156(P＜0.01)与0.2752(P＜0.05)，而HOMA指数与两种评分的相关未有统计学意义；多因素线性逐步回归分析结果示胰岛素原水平与Gensini评分独立正相关(P＜0.01)；多因素Logistic回归分析显示，胰岛素原的水平为冠心病的独立的危险因素，其OR值及其95％可信区间为2.268(1.253～4.105)(P＜0.01)，HOMA指数未进入模型。

In terms of data treatment, SPSS for Windows was used to conduct statistical analysis by methods of item analysis, factor analysis, reliability analysis, descriptive statistics, t-test, one-way multivariate analysis of variance, and one-way analysis of variance. Each research result item was discussed, and the results of this study are summarized below

在资料处理方面，以SPSS for windows进行项目分析、因素分析、信度分析、描述统计、t考验、单因子多变项变异数分析与单因子变异数分析等方法加以统计分析，逐一讨论各项研究结果，兹将本研究的结果归纳如下

Course contents include the analysis of variance and covariance, multivariate analysis of variance and covariance, principle component, factor analysis, cluster analysis, discriminant analysis, canonical correlation analysis, multidimensional scaling, discrete choice model, and LISREL.

其主要内容包括变异数与共变异数分析、多变量变异数分析、主成份分析、因素分析、集群分析、区别分析、规则相关分析、多元尺度法、二元质量选择模型、及 LISREL 模型。

There are several methods can be applied in symptom complex study: Principal component analysis, Factor analysis, Cluster analysis, Regression analysis, and Correspondence analysis, etc. In this article, the author introduces the application of multivariate statistical analysis in TCM symptom complex normalization research in the following four aspects: establishing the basic symptom, filtering optimization index, settling the weight of the index, and setting up the mathematical model.

本文从确立基本证型、筛选优化指标、确立优化指标的权重、建立证候数学模型等4个环节上介绍了多元统计分析在中医证候诊断标准领域的应用，并指出：多元统计分析是研究多因素和多指标问题的统计分析方法，证候诊断学正是研究疾病的多种证型与多种症状之间的关系问题，因此，可以将多元统计分析应用于中医证候的规范化研究中。

Contents: Multivariate statistical analysis is developed quickly on the foundation of mathematical statistics. It is widely applied in every field of natural science and social science and it is the indispensable important tool to handle multivariate data.

主要内容：多元统计分析是在数理统计学的基础上迅速发展起来的一门学科，已广泛应用于自然科学和社会科学的各个领域，是处理多维数据不可缺少的重要工具。

Content: Multivariate statistical analysis is developed quickly on the foundation of mathematical statistics. It is widely applied in every field of natural science and social science and it is the indispensable important tool to handle multivariate data.

多元统计分析是在数理统计学的基础上迅速发展起来的一门学科，已广泛应用于自然科学和社会科学的各个领域，是处理多维数据不可缺少的重要工具。

Salt is good, but if the salt becomes flat and tasteless, with what do you season it?

14：33 盐本是好的，盐若失了味，可用什么叫它再咸呢？

He reiterated that the PLA is an army of the people under the leadership of the Communist Party of China.

他重申，人民解放军是在中国共产党领导下的人民军队。