许多医疗业者开始借用其他产业的专业统计工具，例如六个标准差，已经在「通用」等公司行之多年，有效减少生产制造的误差。
Many health providers now employ statistical tools like Six Sigma, long used by firms like GE to reduce variability in manufacturing, and other methods borrowed from industry.
实验结果表明，模型预测结果的平均相对误差为10.316%，相对标准差为12.895%，满足工程实际要求。
Experiment shows that the average relative error of predicted results is 10.316% and the relative standard error is 12.895%, thus it satisfying requirements of the engineering.
仿真和实际数据处理的结果表明，该方法在参数估计误差和标准差方面明显优于其它算法。
The results of simulated and real data procession show that the proposed method favorably compares to other ones as to the parameter estimation error and its standard deviation.
对标准差的模拟结果偏低，相对误差的绝对值小于6.6%；
Standard deviation were all unpredicted and the absolute relative errors were less than 6.6%.
求出了这些数字特征与地形的起伏标准差、粗糙度以及航速、航向误差之间的定量变化关系，为工程设计提供参考和依据。
The quantitative dependences of these numerical features on the fluctuant standard deviation and roughness of terrain are given, they provide the reference and basis for engineering designing.
目的探讨以CL IA'88允许误差的三分之一推导出的标准差和实际标准差在生化室内质控的应用价值。
Objective To explore actual value on two methods between standard deviation by calculating one third of CLIA 88 permitted error and actual standard deviation in internal quality control.
利用此法，能计算结构静响应的均值和标准差，估价制造误差引起的结构力学性能的随机性误差。
We can use this method to calculate the mean values and standard deviations of the responses, and estimate the stochastic errors of structural characters resulting from the fabrication errors.
依据拉依达准则，剔除测量误差大于3倍标准差的奇异数据并以算术平均值代替，简便易行。
According the error processing criterion, if the measurement error is 3 times larger than the standard error, the singular data can be deleted and substituted with arithmetic average value.
本文从误差的传递着手，严密推证了弓高及弦长测量的标准差取不同值时最佳测量点的位置。
Based on the error theory, we strictly deduce where is the optimum measuring point and when the standard error of arch-height and that of chord - length are both defined in this paper.
本文从误差的传递着手，严密推证了弓高及弦长测量的标准差取不同值时最佳测量点的位置。
Based on the error theory, we strictly deduce where is the optimum measuring point and when the standard error of arch-height and that of chord - length are both defined in this paper.
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