1.
Minimax Estimation of Parameter of a Class Distributions under the Squared Log Error and MLINEX Loss Functions
对数误差平方损失函数和MLINEX损失函数下一类分布族参数的Minimax估计
2.
Common-Acoustical-Poles/Zeros Modeling of HRTF Using Logarithmic Error Criterion
基于对数误差准则的HRTF共极点/零点建模方法
3.
Slope Accuracy Associated with DEM Data Error and Terrain Representation Error
DEM数据误差与地形描述误差对坡度精度的影响
4.
fractional error
相对误差, 部分误差
5.
Effect of Parameters Detection Error to SAR Deception Jamming
参数侦测误差对SAR欺骗干扰的影响
6.
The influence of CT turn ratio to high impedance differential protection is analyzed, and the method of measuring turn ratio error is also introduced.
分析了CT匝数比误差对高阻抗差动保护的影响,并介绍了匝数比误差的测量方法。
7.
Zernike Moments with Minimum Geometric Error and Numerical Integration Error
几何误差和数值误差最小化的Zernike矩
8.
The first term of the integrand represents the contribution to the error power due to noise.
被积函数的第一项表示噪声对误差功率的影响。
9.
Gives a calculation formula of the absolute error of specific frictional head losses.
给出了湍流区沿程阻力系数绝对误差的计算式。
10.
THE EFFECT OF THE MEASURING ERROR OFMETEOROLOGICAL PARAMETERS ON THE RESULTSOF DOPPLER POSITIONING
气象参数测定误差对卫星多普勒定位的影响
11.
The Study about the Influence of Error s Spatial Autocorrelation on Terrain Parameters Based on Digital Elevation Model;
DEM误差自相关性对地形参数的影响分析
12.
The Influence of the Setting Cutter Setting Error on Process Accuracy of Digit-controlled Lathe Cutting;
车刀安装误差对于数控车削加工精度的影响
13.
The error estimates for the double set parameter rectangular elements with symmetry;
具有对称形式的双参数矩形板元的误差估计
14.
MIMO Decision Feedback Equalization Based on Improved Log-Normal Error Function CMA Algorithm
基于改进对数正态误差恒模算法的MIMO判决反馈
15.
Error Estimates for Approximate Approximations with Gaussian Kernels on Multivariate Compact Intervals
利用Gaussian核对多元函数的近似逼近及其误差估计
16.
Digital Error Sources of Geological Map Based on MapGIS and its Countermeasures
基于MapGIS的地质图数字化误差来源和对策
17.
Abstract: The error sources of some data acquisition methods are discussed in digital cartography, and these errors are analysed.
文摘:讨论了数字制图几种数据采集方式的误差来源，并对这些误差进行了分析评价。
18.
Numerical examples are given to illustrate that the norm errors of the approximate algorithm is generally small, while the smaller the absolute value is, the greater the component errors will be.
数值算例表明：该近似算法的范数误差一般较小，而绝对量较小的分量误差较大。