• 第三章中论述了渐进因子分析(EFA)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.

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  • 目标因子分析(TFA)一种多元系统进行统计分析计算数学方法

    Target Factor Analysis (TFA) is kind of mathematical technique for solving multidimensional problems of a certain type.

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  • 本文主要运用多元统计分析中的因子分析聚类分析方法。

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

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  • 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2002年数据截面上海市工业行业基本特征进行分析

    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.

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  • 传统变量统计分析方法主要成分分析方法、因子分析方法等我们多元统计分析方法。

    Traditional multivariable analysis method mainly includes Principal component analysis method, Factor analysis method that we usually talk of.

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  • 研究开发多元校正工具箱,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.

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  • 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概念模型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.

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  • 因子分析一种多元统计分析方法。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.

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  • 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.

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  • 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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  • 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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