在第三章中,论述了渐进因子分析(EFA)和多元曲线分辨(MCR)用于酶催化反应机理的研究。
In the third chapter, the application of evolving factor analysis (EFA) and multivariate curve resolution (MCR) in the enzyme reaction mechanism is discussed.
目标因子分析法(TFA)是一种对多元系统进行统计分析的计算数学方法。
Target Factor Analysis (TFA) is kind of mathematical technique for solving multidimensional problems of a certain type.
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。
This paper mainly adopts the factor analysis and cluster analysis in the multivariate statistical analysis.
文章采用多元统计分析中的因子分析方法,依托SAS统计分析软件,以2002年数据为截面,对上海市工业行业的基本特征进行了分析。
The paper USES SAS software to analyze the basic characteristics of industrial structure of Shanghai industries in 2002 with the factor analysis method by making use of the data in 2002.
传统的多变量统计分析方法,主要是指主成分分析方法、因子分析方法等我们常说的多元统计分析方法。
Traditional multivariable analysis method mainly includes Principal component analysis method, Factor analysis method that we usually talk of.
本研究开发了多元校正工具箱,化学因子分析工具箱,聚类分析工具箱,以及谱图分峰拟合工具箱。
In this sub-system, a toolbox of multivariate calibration, a toolbox of chemical factor analysis, a toolbox of cluster analysis, a toolbox of overlapping peak resolving were involved.
最后,通过采用因子分析、方差分析、多元回归分析等统计方法对所提出的概念模型和研究假设进行了验证和分析。
Finally, by using factor analysis, variance analysis and multiple regression analysis, this paper verifies the above conceptual model and research hypothesis.
因子分析是一种多元统计的分析方法。本文着重介绍因子分析在红外光谱分析研究中的应用。
The basic principle of factor analysis and its recent developments are introduced in brief. A review of the applications of factor analysis to infrared spectra is offered too.
其次,研究采用我国2006年私营企业调查的数据,通过因子分析、多元回归分析等方法对模型所包含的假设进行了实证检验。
Secondly, using the 2006 survey of Chinese private enterprises, this study attests those hypotheses through several methods such as factor analysis and multiple regression analysis.
方法:通过问卷调查法搜集了263份有效问卷,采用探索性因子分析法和多元线性回归分析进行数据分析。
Methods: Using an online questionnaire survey to collect 263 valid questionnaires, exploratory factor analysis and multiple linear regression analysis were used for data analysis.
方法:通过问卷调查法搜集了263份有效问卷,采用探索性因子分析法和多元线性回归分析进行数据分析。
Methods: Using an online questionnaire survey to collect 263 valid questionnaires, exploratory factor analysis and multiple linear regression analysis were used for data analysis.
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