statistical regression
英 [stəˈtɪstɪkl rɪˈɡreʃn]
美 [stəˈtɪstɪkl rɪˈɡreʃn]
网络 统计回归效应; 统计回归; 进行统计回归; 统计回归现象; 归现象
英英释义
noun
- the relation between selected values of x and observed values of y (from which the most probable value of y can be predicted for any value of x)
双语例句
- Based on analysis results of 21 finite element model, mathematical model of box girder stiffness damage factor considering the wide span ratio, span ratio and the load factor is presented by statistical regression calculation.
对21个有限元模型的计算结果进行统计回归,提出了考虑主梁宽跨比、边中跨比和荷载因子3个参数的箱梁刚度折减系数数学模型。 - By applying the multivariate statistical regression model and logistic regression model to analyze the cultivation performance and farmers 'participation desire in healthy cultivation model, we find out the influence factors of the farmers who participate in cultivation mode.
应用多元统计模型和logistic模型分析养殖户的养殖绩效和养殖户参与健康养殖模式的意愿,并得出影响农户参与健康养殖模式的因素。 - The fitting-agreements of the observed values with the four thin-layer equations were examined by the statistical regression technique.
所量测之乾燥试验数据以统计回归技术来评估四种薄层乾燥方程式的符合能力。 - This paper reviewed statistical regression methods and establishes soft sensor model of moisture for high ratied paper making processes using partial least square ( PLS) method.
本文在回顾了典型统计回归方法的基础上,采用部分最小二乘(PLS)建立高定量造纸过程的水分软测量模型。 - The attenuation of intensity in the area was analyzed with statistical regression, and compared with existing results.
本次工作重新挑选震例,对研究区的地震烈度衰减规律进行了统计回归分析,并与该地区已有的地震烈度衰减关系进行认真的比较分析。 - Insufficiency of Statistical Regression Model for Seepage Pressure Monitoring and Expansion of Factors
渗压监测统计模型欠拟合问题及因子的扩充 - Finally, modeling and statistical regression obtained in this article Conclusion.
最后通过模型建立和统计回归得出本文的研究结论。 - The statistical regression analysis model efficiently reflects the changing rule and developing trend of seepage and seepage-pressure of dam foundation. This model has provided efficient analysis means for evaluating safety properties of the gravity dam.
统计回归分析模型有效地反映了坝基渗流、渗压的变化规律和发展趋势,为评价大坝运行安全性态提供了有效地分析手段和途径。 - Some fatigue test data of crankshaft were listed and statistical regression analyses were conducted in normal distribution, log-normal distribution and the Weibull distribution respectively. By the results, reasonableness comparison of each distribution for crankshaft fatigue test data was made.
以曲轴弯曲疲劳试验的实测数据为例,进行了正态分布、对数正态分布、威布尔分布下的数据统计回归分析,并对比分析了各种分布在曲轴失效数据的合理性。 - The results show that the BP neural network model is an excellent one in prediction monitoring data of dam, while the statistical regression model is suitable for analyzing and explaining the obtained monitoring data.
结果证明:BP模型在大坝监测值预报中是一种性能优异的模型。当需对大坝的监测数据作分解和解释时,则适宜采用统计回归模型。
