DESIGN: Single factor analysis of variance.
设计：单因素方差分析实验。
Measurement data were compared with single factor analysis of variance.
计量资料差异比较采用单因素方差分析。
The measurement data were compared with single factor analysis of variance.
组间计量资料差异比较采用单因素方差分析。
The quantitated indexes were analyzed with one-factor analysis of variance of statistical software of SPSS11.5 edition.
定量检测结果采用SPSS 11.5统计软件进行单因素方差分析。
DESIGN: Single factor analysis of variance (a case-controlled study) SETTING: Laboratory of nutrition and metabolism diseases in a university.
设计：单因素方差分析(分组对照实验)。单位：一所大学的营养与代谢性疾病实验室。
In order to improve the robustness of this method, two-factor analysis of variance and additive model is proposed to reduce the impact of style information on face observed feature.
为了提高该方法的鲁棒性，通过两因子方差分析与加性模型分离人脸内因子与外因子，降低风格信息对人脸观察特征的影响。
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单因素方差分析，非正态分布资料经正态转换后再作统计学处理。
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、单因素方差分析、相关性分析和多元线性回归分析。
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、单因素方差分析、相关性分析和多元线性回归分析。
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