• DESIGN: Single factor analysis of variance.

    设计因素方差分析实验。

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  • Measurement data were compared with single factor analysis of variance.

    计量资料差异比较采用因素方差分析

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  • The measurement data were compared with single factor analysis of variance.

    组间计量资料差异比较采用因素方差分析

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  • DESIGN: Single factor analysis of variance (a case-controlled study) SETTING: Laboratory of nutrition and metabolism diseases in a university.

    设计因素方差分析(分组对照实验)。单位:一所大学营养代谢性疾病实验室

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  • Difference of measurement data was compared with single factor analysis of variance. After normal transformation, the non-normal distribution data were conducted with statistical disposal.

    计量资料差异性比较采用因素方差分析,非正分布资料转换后再统计学处理

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  • Using repeated-measures single factor analysis of variance and Bonferroni statistical tests (P < 0.05), intervertebral motion redistribution of each construct was compared with the intact.

    使用重复测量变异因子分析Bonferroni统计学测试,我们将每个结构椎间盘运动再分布完整运动进行了比较

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  • This paper presents a single factor heteroscedastic model, deduce a method of this heteroscedastic analysis, and presents the estimation of mean and variance in this model.

    本文提出一种因子方差模型导出这种异方差分析方法给出了模型均值方差估计

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  • The empirical study part contains assumptions, description of statistical analysis, parameter testing of single-factor analysis of variance, correlation and multiple linear regression analysis.

    在实证部分提出假设,进行描述行统计分析参数检验分析、因素方差分析、相关性分析多元线性回归分析。

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  • The empirical study part contains assumptions, description of statistical analysis, parameter testing of single-factor analysis of variance, correlation and multiple linear regression analysis.

    在实证部分提出假设,进行描述行统计分析参数检验分析、因素方差分析、相关性分析多元线性回归分析。

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