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regression coefficients中文是什么意思

  • 回归系数

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  • The regression coefficients in mixed geographically weighted regression model characterize by that portion of its regression coefficients are unknown constants while other regression coefficients are unknown functions of geographical locations
    摘要混合地理加权回归模型系数特征是部分回归系数为未知常数,而其它回归系数为地理位置的未知函数。
  • Based on [ 4 ], the author adds a linear restriction r = r to this sur system, and discusses the estimator and the optimalities of unknown regression coefficient ft in the sur system under the linear restriction
    本文将在文献[4]的基础上,对此sur系统增加一线性约束r=r,讨论在此线性约束r=r下半相依回归系统中未知回归系数_1的估计及其优良性问题。
  • With mathematical proofs and hypothetical data, this paper demonstrated that when there are more than 2 ivs, inference on the relative importance of these ivs should not be made from standardized regression coefficients ( s ) alone
    本文以假设性的数据为例,配合数学演算证明:当自变项超过两个时,标准化?归系数并不适合作为评断自变项相对重要性的唯一依据。
  • In . the practical application, the second linear regression equation of this sur system is usually regarded as auxiliary information of the first one, and . all of the results of unknown regression coefficient 2 are parallel to that of 1
    在实际应用中,sur系统的第二个线性回归方程一般是为第一个方程提供辅助信息,且未知回归系数_2的所有结果与_1平行。
  • Velocity variation is positively correlated with crust thickness and negatively correlated with earth's heatflow . the linear regression equation of velocity, crust thichness and heatflow is obtained . the regression coefficient dv / dp convert
    同时地震波速厂与地壳厚度h呈明显的线性正相关关系,与大地热流呈负相关关系,并得到三者的线性回归方程,回归系数dvdh换算成bvop?
  • The method is applied to shenzhen pumped storage power plant, the regression coefficients corresponding to the in-situ stress factors are determined by fitting the stress measured values, and the initial stress field is obtained for the rock mass of whole engineering
    并以深圳抽水蓄能电站为实例,通过拟合实测地应力资料获得对应于地应力构成因素的回归系数,并得到整个工程区的岩体初始应力场。
  • The main results are as follows : according to the approximate multicollinearity of matrix, the third chapter constrains the regression coefficient and obtains generalized ridge estimation of the linear model's parameter under the ellipsoidal restriction
    主要结果如下:论文第三章从设计矩阵的多重共线性角度出发,考虑回归系数的椭球约束,获得了椭球约束下线性模型参数的一种新型估计--广义岭型估计。
  • Starting with the equivalence condition of admissibility, this paper discusses respectively the linear biased estimate of the regression coefficient of thee models : the g-m linear regression model, the multivariate linear regression and the mixed-effect coefficient linear model
    本文以可容许性的等价条件为起点,分别讨论了g-m线性回归模型、多元线性回归模型和混合系数线性模型的回归系数的一类线性有偏估计。
  • The correlation between factors and land use change is discussed and multivariable regression model is set up . by means of standardized regression coefficient of the model, impact of main driving forces on arable land change is analyzed quantitatively
    根据驱动因子与土地利用变化关系的分析,提出表征县域土地利用变化驱动因子的指标体系,分析了二者的相关关系,建立了多元回归模型,并以其标准回归系数为指标定量分析了驱动因子对耕地变化的影响。
  • This paper analyzes the factors affecting the controlling precision of sand compactibility system and sets up the dynamic model of regression coefficient between sand compactibility and water content . to prevent the insufficiency or excess of sand water content, the amount of the first addition is set as 80 % of the total water addition amount . after the first water addition, we adopt ar model to predict the stable value of sand compactibility to shorten the time mixing the sand . each time we add water, the correction coefficient is introduced to adapt to the change in the composition of sand . the experiment shows that the mathematics model not only makes the water content in sand reach the best range within shorter time, but also directs how the sand composition should be adjusted, which can better conform to the actual situation
    分析了影响型砂紧实率控制精度的因素,建立了型砂紧实率-水分回归系数的动态模型.为防止型砂水分不足或过量,将第一次加水量设定为总加水量的80.第一次加水后,对型砂紧实率稳定值采用ar模型进行预测,以缩短型砂混制时间.每次加水后,引入修正系数,以适应型砂组成的变化.实验表明,该数学模型不仅使型砂水分含量在较短时间内达到最佳范围,同时可指示对型砂组成进行调整,能较好地符合实际情况
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Last modified time:Sun, 17 Aug 2025 00:29:56 GMT

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