查询词典 multivariate 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。

Linear models for dependence analysis (multivariate regression, MANOVA, and discriminant analysis) and for interdependence analysis (principal components and factor analysis).

相依分析线性模型社会科学中的多元分析：(多元回归， MANOVA 和判别分析)相依关系分析。

The multivariate analysis for structure simplification includes principal component analysis, principal component factor analysis and maximum likelihood factor analysis.

为简化形態性状多样性结构所进行之多变数统计分析包括主成分分析、主成分因子分析及最大可能率因子分析。

NET technology structure dynamic webpage in realizing in system, is it use personnel can choose to analyze the function through interface conveniently to make, the analysis result trends show with the chart; And has fully utilized treatment technology of running side by side, has considered the loss which sets up the index and resource proportionally, make systematic efficiency be optimized. Pass the imperial examinations at the provincial level several systematic example of practical application in thesis, if customer state analysis, income analysis, conversation situation analysis, is it transfer to situation analysis, rival analyze etc. to breathe out, having proved the system through the actual inspection of market analysis personnel, the analysis conclusion drawn from it is accurate, can be believed, and because of is it with chart, it makes to be very clear to analyze person, can catch the focal point easily to mix, have convincingness even more as to policy-making level of enterprises. System produce high benefit relatively already at present, can is it grasp message, consumption situation of customer in real time to realize easily through it, turn from enterprise policymaker to network analysis monthly demand of conclusion into and require that analyses rivals situation every day, draw occupation rate of market key index can know system become market important basis source of decision already, so, the realization of this project has greater actual meaning.

NET技术构建动态网页，使应用人员能方便地通过界面选择分析功能，分析结果动态以图表显示；并充分利用了并行处理技术，对建立索引与资源的损耗均衡考虑，使系统效率得以优化。3、在论文中举了几个系统实际应用的例子，如客户状态分析、收益分析、通话情况分析、呼转情况分析、竞争对手分析等，证明系统经过了市场分析人员的实际检验，从中得出的分析结论准确、可信，并由于配以图表，使分析人员一目了然，可轻易抓住重点，对企业决策层而言则更具说服力。4、系统目前已产生了较高的效益，通过它能轻易实现实时掌握客户的信息、消费情况，从企业决策者对系统分析结论的月需求变为要求每日分析竞争对手情况，得出市场占有率等关键指标可知系统已成为市场决策的重要依据来源，因此，本项目的实现具有较大的实际意义。

Auxin response factor is an important transcription factor for auxin signal transduction pathway. In order to identify the function of cotton auxin response factor GhARF3, some bioinformatics methods were used to analyze GhARF3 gene sequence, including BLAST analysis, domain analysis, phylogenetic tree analysis, the physical and chemical properties analysis of protein, hydrophobicity analysis, disulfide bonds analysis, phosphorylation site analysis, secondary structure and tertiary structure prediction, and subcellular localization and protein functional classification analysis.

运用生物信息学方法对棉花GhARF3基因序列进行BLAST分析、结构域分析、进化树分析、编码蛋白质的理化性质分析、疏水性分析、二硫键分析、磷酸化位点分析、二级结构以及三级结构的预测、亚细胞定位和蛋白质功能分类预测等分析。

In order to solve these problems encountered in the application of Artificial Intelligence in fault diagnosis of power transformer, some improved methods are presented, the main research work of this dissertation consists of the following parts: The conception of cumulative frequency in data reliability analysis is utilized to unify the results of Dissolved Gas Analysis. And with the application of the class-attribute function, the evaluation of typicality of samples and the selection of characteristic vectors of fault could be realized by integrating the technique of multivariate statistical analysis.

针对目前应用人工智能技术进行变压器绝缘故障诊断时所遇到的主要困难，本文进行了深入的研究与分析，进而提出了相应的解决方法，主要的研究工作如下：提出利用可靠性数据分析中累积频率的概念对油中溶解气体分析数据进行归一化处理；并在引入"类属函数"的概念后，结合多元统计分析技术实现了样本的典型性评价与故障特征矢量的选取。

This paper mainly adopts the factor analysis and cluster analysis in the multivariate statistical analysis.

本文主要运用多元统计分析中的因子分析和聚类分析方法。

To analyse these problem, Factor analysis,regression analysis and multivariate analysis have been used.

在此过程中本研究主要采用了因子分析，回归分析和多元方差分析方法。

Tests on mean vector, discriminant analysis, multivariate analysis of variance, canonical correlation, principal components, and factor analysis.

多元分析——方法：均值向量检验，判别分析，多元方差分析，典型相关分析，聚类分析，主成分分析，因子分析。

Now she was hungry and angry.She began to smoulder.

现在她又饿又气，她开始流露难以抑制的怒火。

You have placed our iniquities before You, Our secret sins in the light of Your presence.

诗90：8 你将我们的罪孽摆在你面前、将我们的隐恶摆在你面光之中。