1.
Research and Software Realization of Error Correction Arithmetic Based on Wind Testing of a Plane Model;
风洞模型全机测力实验数据误差修正算法研究及软件实现
2.
Experimental Error and Deal With Data
实验误差与数据处理
3.
treatment for errors in experimental data
实验数据的误差处理
4.
Mathematica Automated Data Processing of Physics Experimental Error
物理实验误差的Mathematica自动化数据处理
5.
Error analysis and data processing of intelligent F-H experimental apparatus
智能型F-H实验仪的误差分析及数据处理
6.
The average error scope was-10.20%～8.43% through comparing the predicted value by the model and the practice value.
细菌总数与实验测定数据进行比较,平均误差范围是-10.20%~8.43%。
7.
Application of DEA Model into the Error Analysis of the Experimental Data
DEA理论在试验数据误差分析中的应用
8.
The determined data prove that the equifinal reactance error of furnace calculated by this method is less than 5％.
实测数据验证该方法计算的炉子等效阻抗误差小于5％。
9.
Error Pertinence Study and On-line Program Development in Laser-driven Equation of State Experiment;
激光状态方程实验中的误差相关性研究及数据在线处理程序开发
10.
An Approach for Multi-channel SAR Array Error Compensation and Its Verification by Measured Data
多通道SAR误差估计与补偿方法及其实测数据验证
11.
Errors of Data in Empirical Econometric Research;
计量经济研究实践中的数据运用误差
12.
Experimental Research of NC Processing Error Based on Entropy Concept;
基于熵概念的数控加工误差实验研究
13.
The Mathematical Mean of the Physical Quantity and the Physical Experimental Error;
物理量的数学平均值和物理实验误差
14.
Research on geometric error compensation device of CNC
数控机床几何误差补偿器的实验研究
15.
The quality and methodology of the laboratory work, including the lab's error rate and the statistical interpretation of data.
实验室工作的质量和方法论，包括实验室的误差率和数据的统计学解释。
16.
The error was caused inevitably in the course of experimental data processing because of complicated calculation and drawing in the squared paper based on the results.
由于实验数据计算复杂并需要根据其结果在直角坐标纸上作图,不可避免引起主观误差.
17.
Test on Systematic Error Between the Sets of Measured Data Based on Hypothesis Testing
运用假设检验推断组间测量数据的系统误差
18.
Finally by analyzing experimental datum,the accuracy of the model is proved,and the measurement error is showed only by 1 %.
最后,通过实验数据的误差分析,验证模型的正确性,其测量精度可达1%。