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The first stage is screen experiment. A 24-1 Fractional Factorial Design and resolution IV experiment is used to find out which main effect and interaction effect have obvious influence on the precision positioning of feeding table by these four factors. The Minitab program including Half Normal Plot, Pareto Chart, and ANOVA is applied to diagnose obvious effects. The second stage is optimization experiment. The fitness of regression model is obtained by using CCD of RSM with statistical hypothesis testing, regression analysis, lack-of-fit testing, and residual analysis. The optimum values can be found out by using response surface plot and contour plot.

在第一阶段为筛选实验采用24-1部分因子实验,解析度为IV,求出这4个因子主效应及交互作用哪些会对进给平台定位精度有显著的影响,在分析方面使用统计软体Minitab做初步分析,应用了半常态机率图、柏拉图与变异数分析来判断出显著因子与交互效应显著,第二阶段优化实验采用反应曲面法的中央合成设计,搭配统计检定、回归分析、缺适性检定(Lack-of-Fit)、残差分析来取决回归模式之合适性,最后根据反应曲面图及等高线图求出最佳值做验证实验。

Then use the data obtained and stepwise regression analysis method, to establish mathematical models and to explore the relationship between variables.

然后利用所获得的数据,运用逐步回归分析方法建立数学模式并探讨其变量间的关系,得出回归模式。

Results Unvaried non-conditional logistic regression analysis showed that sex,primary disease,site of puncture,nursing care,and ways of use of the catheter showed no correlation with CRS.

先以单因素非条件logistic回归分析筛选出有统计学意义的危险因素,再应用多因素非条件logistic回归分析患者CRS形成的独立危险因素。

Regression analysis showed that there was a marked regression relationship between the two factors and xylose yield.

回归分析表明,这两个因素与木糖的收率之间存在显著的回归关系。

Nonlinear regression analysis was performed to assess the allometric relation of FFM with body height.

根据FFM是身高的异速生长指数的模型关系,进行非线性回归,建立指数曲线回归方程。

Methods Based on Cox regression model, quality of life was used as a time-dependent covariable in analysis of the influence factors for the effectiveness of detoxification in 212 drug addicts.

基于Cox回归模型,提出将生存质量作为时变协变量的Cox回归分析法,并用于212例吸毒者戒毒效果的影响因素分析。

The standardized regression coefficient has been a common tool for assessing the effect, predictive power or explanative power of an independent variable.

多元回归里的标准化回归系数常被用来表达一个自变项的作用、预测力或解释力。

We did filate correlation analysis and regression analysis between the membership degree and clinic laboratory results to seek regularity index which can express the change of pattern of syndrome.

在非线性相关性分析及回归分析时,对中医类证候分类识别的结果隶属度值进行非线性处理,通过对数变换为属于该中医类证候的概率值作为自变量,对隶属度概率值与西医临床理化指标进行相关性分析和建立回归方程。

To analysis the statistics rule between analogical TCM syndrome and demography index.②When doing filate correlation analysis and regression analysis, we made the membership degree of every group analogical TCM syndrome as independent variable.

在线性相关性分析及回归分析时,以中医类证候分类识别的结果隶属度作为自变量,对隶属度值与西医临床理化指标进行相关性分析和建立回归方程,找出表达证型变化的规律性指标。

Regression results showed that DBH and H both greatly influenced by foliar P, and Ca contents.

进行回归分析后比较回归系数的大小得出,叶片的P和Ca含量对林木生长有影响作用。

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