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)
  Synonym:regressionsimple regressionregression toward the mean

双语例句

• 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。
• And from the perspective of econometrics, select the relevant indicators to establish a large model of quantitative analysis, statistical regression to the eventual establishment of the structure can withstand the spread of measurement model testing.
  然后从计量经济学角度，选取相关性大的指标建立计量分析模型，进行统计回归，以最终建立经得起计量检验的利差结构分析模型。
• The drilling speed equation for PDC bits is gotten by statistical regression of the main factors which have some effects on the drilling speed.
  通过统计回归各主要因素对机械钻速的影响规律，建立了PDC钻头的钻速方程。
• Total ozone during the period of Antarctic ozone hole of1993 at Zhongzhan station in Antarctica is extracted from TOVS data of NOAA-12 by using an improved statistical regression scheme.
  通过改进臭氧的统计反演算法，从NOAA卫星的TOVS资料中提取了1993年南极臭氧洞期间中山站上空大气臭氧含量的资料。
• 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。
• To make full use of BP neural network model and statistical regression model of dam, through illustrations a comparison between them is made in three aspects, i. e. from model principle, model formation and their application respectively.
  为了更好地应用BP神经网络预报模型和回归预报模型，通过实例从模型原理、模型建立和模型应用三方面对两种预报模型进行了比较。
• At last, the author took a long view on statistical regression method and the technology of artificial neural network used in soft-sensing modeling, and then pointed out some ideas for further work.
  本文最后，对统计回归和神经网络技术在过程软测量建模的应用进行了展望，并提出了今后建模过程中需要进一步深入研究的方向。
• 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
• Telecommunications services over the traditional forecasting models for statistical regression model and time series model.
  电信业务的传统预测模型多为统计回归模型和时间序列模型。
• In order to examine whether and how financial ratios effect on future earning per share ( EPS), this paper used two statistical regression methods include Logistic model and Linear model and analysis their inner interaction from qualitative and quantitative perspectives respectively.
  为了发现财务指标是否以及如何对上市公司未来每股收益产生影响，本文采用了Logistic回归和线性多元回归两种方法，试图从定性和定量两个角度对它们的内在作用加以分析。