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regression effect相关的网络例句

查询词典 regression effect

与 regression effect 相关的网络例句 [注:此内容来源于网络,仅供参考]

Multiple linear regression showed that factors having effect on transformation frequency was more than that on GUS spots/explant.

多元线性回归后的结果表明,影响外植体转化频率的因素要比影响外植体上GUS蓝点数的因素多。

The first part discusses about the effects of the five factors:temperature,relative air moisture,rate of frass sifting,density of larvae,fodder water percentage to growth speed and survival rate of older mealworm (Tenebrio molitor L.) larvae through rotational composite design of quadratic regression. Two models were established to describe the effects of the five factors. The models showed that percentage of fodder water is the major factor that has effect on the growing speed of T. molitor larvae,and fodder water is the major factor on death rate. The models also show that temperature on growth speed,temperature and fodder have important effects on death rate,and the significant test showed they have significant difference on 1% or 5% level. From the two models,by frequency analysis,we can get the optimizing rearing condition,in which the mealworm larvae overweight 10% per day,temperature is 25-26 ,frass sifting rate is once 2-4 days,density of larvae is 0.61-0.79 g/cm2,fodder water is 33.27%-39.71%. And the rearing condition,in which total death rate of T.

第一部分:采用五因素二次正交旋转组合设计,以黄粉虫幼虫饲养过程中饲养温度(X_1)相对湿度(X_2)、虫粪筛除频率(X_3)、饲养密度(X_4)以及饲料含水量(X_5)五因素为参试因素,考查它们对黄粉虫高龄幼虫的生长及存活的影响,建立了以黄粉虫幼虫增重率及死亡率为目标函数的回归模型,并进行了简化: Y_增=127.5079+18.6559x_5+2.7894x_3x_4-2.3854x_3x_5-3.0594x_1~2+1.8241x_3~2-3.8559x_5~2 Y_死=1.7459+0.4108x_1+0.0975x_2+0.9025x_4+0.3442x_5+0.0834x_1~2+0.3060x_4~2-0.2623x_5~2 分析结果表明:影响黄粉虫幼虫生长后期增重及死亡的主要因素分别为饲料含水量和饲养密度;饲料含水量和温度对黄粉虫增重有着重要的影响,饲养密度、温度、饲料含水量对黄粉虫的死亡有着重要的影响,其影响均达1%或5%显著水平;黄粉虫幼虫后期日增重率大于10%的饲养条件为:温度26~27℃、筛粪频率2~4天/次、饲养密度0.61~0.79g/cm~2、饲料含水量33.27~39.71%。

We investigated the effect of combined application of maize straw, bean haulm, wheat straw and weathered coal on the activity of alkaline phosphate enzyme in calcareous cinnamon soil by means of regression design of 416A-optimization.

本研究采用四因数二次回归 4 1 6A—最优设计方法,通过裸土盆栽试验,在施用少量N、P肥的基础上,研究了玉米秆、豆秆、麦秆和风化煤四种有机物料配合施用对石灰性褐土中碱性磷酸酶活性的影响,建立了上述四个因子与土壤碱性磷酸酶活性之间的数学模型,并分别进行了试验因子的主效应和互作效应的分析

Logistic regression analysis was used to test the effect of each independent variable.

分析的方法使用了频率、百分比、卡方检定及逻辑回归分析。

Results Factors affecting senile dementia in proper order of intensiveness were advanced age,history of stroke,smoking,hypertension,nature and family members living together,excluding the difference of positive results caused by the effect of cultural level.It seemed that the other factors were not very important in the Logistic multivariate regression analysis.

结果在排除文化程度本身对痴呆筛查量表阳性界值的差异性后,对影响老年期痴呆的最大因素依次为:高龄、脑卒中史、吸烟、高血压、性格和家庭同住人口类型等,而其他因素在多元回归分析中似乎所占密度不大。

Fourthly, through multiple regression analysis, the circumstance turbulences modulatory effect on the relation between technological learning and innovation performance.

研究结果表明,外部环境的动荡程度对探索性技术学习和创新绩效的关系存在着调控性影响,而对挖掘性技术学习和创新绩效的关系并没有显著的调控性影响。

Fourthly, through multiple regression analysis, the circumstance turbulence's modulatory effect on the relation between technological learning and innovation performance.

研究结果表明,外部环境的动荡程度对探索性技术学习和创新绩效的关系存在着调控性影响,而对挖掘性技术学习和创新绩效的关系并没有显著的调控性影响。

Taken Qinshui Basin as an example a predictive model of gas content is established by multiple stepwise regression analysis, using Langmuir volume and gas saturation as its parameters. The result of multiple correlation coefficient testing, F-testing and t-testing indicates that the model meets the hypothesis testing of linearity and its matching effect is preferable.

以沁水盆地为例,运用多元逐步回归分析方法,建立了以Langmuir体积和含气饱和度为参数的含气量预测模型;复相关系数、F检验、t检验结果表明,该模型满足线性与方差齐性的假设,拟合效果较好。

The study methods: Based on digital printing and offset printing technology principle, the basic parameters having effect on the ink-jet printing output quality were analyzed. And the mathematics models between the ink quantity and the solid density, and the relation between the gamma and printing contrast were established. The relation among the output dot area coverage, the original dot area coverage and the dot-gain percent was analyzed. And the mathematics models of printing characteristics curves and dot-gain curves were established. The factors influencing the dot-gain were analyzed, and then the dot-gain compensation function was acquired. All the models were verified by the method of regression analysis. And the precisions of the models were obtained by the correlation coefficient and multiple correlation coefficients.

研究方法:根据数码印刷以及胶版印刷的工艺原理,分析了影响喷墨印刷输出质量的基本参数,建立墨量与样张实地密度、γ与相对反差的数学模型;分析输出网点面积率、标定网点面积率以及网点扩大率三者之间的关系,建立网点扩大曲线和印刷阶调复制曲线的数学模型,并对网点扩大的影响因素进行了分析,导出了网点扩大补偿函数;运用回归分析方法分析模型,并用相关系数和复相关系数检验回归模型的显著性;使用灰平衡方程,结合回归法得出灰平衡控制曲线。

Next uses multiple regression analysis to test the mediator effect of brand trust.

然后通过回归分析检验了品牌信任的中介效应。

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