片语

treatment sum of squares理平方和

sum m of squares平方和

prediction sum of squares平方和

total sum of squares总平方和

Sum of Squares method离差平方和法

sum of squares identity平方和恒等

Cumulative sum of squares累加均方

Regression sum of squares回归平方和

column sum of squares行平方和

英汉例句

• in this paper, a new method (called「minimum sum of squares of weighted error」) is proposed to realize the optimum delay estimation even with a short filter in the domain of higher order cumulants.

  提出了一种可在相关高斯噪声中，只要较少的滤波器权长就能对非高斯信号的时延进行估计的新方法，称为最小权值误差平方和法。

• by making an analysis of different relations of distance, method of gravity center, method of mean value of class and method of sum of squares of deviations are compared in this paper.

  本文从各种距离之间的关系来对重心法、类平均法及离差平方和法作一些分析比较。

• then, we can get some mean value, such as sum of absolute value of deviations and sum of squares of deviations and nse for 49 towns of fujian「 9 cities mentioned above.

  最后分别计算49个站点不同历时离差绝对值和平均值、离差平方和平均值以及nse值平均值。

• the paper designs a sum of square function, which is an optimization mathematical model that makes the residual sum of squares of wax deposition rate between the calculated and the measured minimum.

  通过设计一个平方和函数，使蜡沉积速率的计算值与实测值的残差平方和为最小的优化数学模型成为一个无约束的非线性规划问题。

• presented is an improved influence coefficient method for balancing the mass of rotors. it is not sufficient to consider only the minimum of the sum of squares of the residual vibration.

  在影响系数法动平衡实践中，经常会因平衡质量过大而无法实现．产生这一问题的原因是：平衡方法本身不完善，片面追求残余振动平方和最小；

• the rules of bic and minimum residual sum of squares are used to gain the optimum error model.

  利用bic準则及残差平方和最小原则得到振梁加速度计的最佳误差模型。

• therefore, the absolute magnitude of the error pattern can be represented by the extra sum of squares using the weighting factor .

  因此，绝对程度的误差模式可以通过多平方用加权因子代替。

• an example shows that with the method of determining the order based on local residual sum of squares in ar(p), the precision of forecast values increases.

  实例表明：对自回归模型进行定阶时，运用局部残差平方和的定阶方法，能有效地提高自回归模型的预测精度。

• we combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.

  即把一元非线性回归和多元线性回归结合起来，构造一个混合回归模型，这样就减小了模型的残差平方和，从而提高预报的準确性。

• the correlation coefficient y-intercept slope of the regression line and residual sum of squares should be submitted.

  应该提交其相关系数、y轴截距、回归线斜率、残差平方和。

• the approach did not rely on prior knowledge about the target motion, and utilized the expectation of the sum of squares of 「new value」 to construct a zoom factor, which can adjust adaptively.

  此方法不需要目标机动的先验知识，而是构造一个可自适应调整的缩放因子，通过该因子对过程噪声进行调节。

• in this paper, the stepwise algorithm for selecting predictors on the basis of the criterion from prediction sum of squares (press) are discussed.

  本文提出了基于预测平方和（press）準则选取预报因子的逐步算法。

• by calculation of all possible regressions with mallows」 c_p statistic, average prediction mean square error(s_p) and prediction sum of squares (press), the optimum fore-casting model can be obtained.

  建立所有可能的回归方程，再根据c_p準则，平均预报均方误差準则（s_p）、预测残差平方和（press）準则等可找到最优预测模型。

• in all the analysis process, sas actualization of combining ability sum of squares and product comparison of combining ability effect estimation is pivotal and nodus.

  这其中，配合力平方和及配合力效应估计的多重比较的sas实现是分析过程的关键和难点。

• based on the investigation, the concept for the residual sum of squares and nonlinear residual sum of squares(standard residual sum of squares) are proposed.

  这两种新的估计方法具有最小的回归残差平方和 ，文中给出实现这两种参数估计方法的具体算法 。

• according to the demand in practice, the method of determining the order in an ar(p) model is extended, and the method of determining the order based on local residual sum of squares is introduced.

  基于实践应用的需要，通过对自回归模型中的残差方差图定阶方法进行研究，提出了局部残差平方和的定阶方法。