1.
Application of Comprehensive Weight Method Based on Sum of Squares of Deviations in Evaluation of Water-saving Reconstruction Project in Irrigation District
基于离差平方和的综合赋权法在灌区节水改造评价中的应用研究
2.
deviation of sampling average from general average
抽样平均数和总平均数的离差
3.
Errors-in-Variables Model based Error Separation of Inertial Navigation Platform
基于EV模型的惯导平台误差分离方法
4.
Thus, requirements should, ideally, be expressed in terms of a mean and standard deviation.
因此，表达需求量的理想术语应该是平均离差和标准离差。
5.
A Novel Wide Area Differential Method on Separated Calculation of Satellite Clock Errors and Ephemeris Errors
星钟和星历误差分离的广域差分新方法
6.
Regularization for Optical Flow Field with Residual Sum of Squares
基于残差平方和的光流场正则化方法
7.
the expected value of the square of the deviations of a random variable from the point of origin.
偏离原点的随机变量的偏差平方的期望值。
8.
Application of differential square method for sharing compensation benefits between cascade hydropower stations and for sharing costs between multipurpose water projects;
离差平方法在梯级水库补偿效益和综合水利工程费用分摊中的应用
9.
Effects and Separation of Systematic Orientation and Scale Errors of Terrestrial Geodetic Network in Combined Adjustment
联合平差中大地网定向和尺度系统误差的影响和分离
10.
The square of the standard deviation.
方差标准偏差数的平方
11.
Calculates the differences of corresponding values in two ranges or arrays and then returns the sum of the squares of the differences. See Help for the equation used
返回两数组中对应数值差的平方和
12.
Calculates the difference between the squares of corresponding numbers in two ranges or arrays and then returns the sum of the differences. See Help for the equation used
返回两数组中对应数值平方差的和
13.
Returns the sum of the difference of squares of corresponding values in two arrays
对两数组中对应数值的平方差求和
14.
Combination Weighting Approach Based on Maximal Deviation and Maximal Joint-entropy;
基于最大离差和最大联合熵的多方案优选方法
15.
Improvement of Sum of Squares of Deviation from Average and its Calculating Method in Analysis of Covariance;
在协方差分析中离均差乘积和计算方法的改进研究
16.
average absolute relative deviatio
平均相对离差绝对值
17.
The results reveal that the combined forecasting model is more effective.
结果表明，此组合预测平均误差和预测平方根误差均较小。
18.
Combination Weighting Approach Based on Deviation Function and Joint-Entropy;
基于离差函数和联合熵的组合赋权方法