Application of this standard made it possible to recognize any deviation as an error or mistake and make a step to a higher level of the standard.
通过标准的应用，我们能够以误差或错误的形式区分所有的不同之处，然后，建立更高水平的标准。
The proposed statistical SS2M model has an average error of 4.16% with respect to SPICE Monte Carlo simulations, with an average error of standard deviation of only 3.06%.
同时，提出的统计ss2 M模型与SPICE蒙特卡罗分析结果比较，均值的平均误差在4.16%以内，而方差的平均误差在3.06%以内。
The analysis of measurement data error by using rear-average method was discussed. The method to count standard deviation of indirect measurement value by using rear-average method was proposed.
对用后均法进行测量数据误差分析加以探讨，提出可以用该法计算间接观测值的标准偏差。
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.
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。
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.
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。
In this paper, statistical tests used to verify the robustness of the model, and the relative error and relative standard deviation were used as its evaluation criteria.
本文采用统计试验的方法验证该模型的稳健性，并将相对误差和相对均方差作为其评价标准。
Our results also indicated that the inversion results are not sensitive to the error distributions as long as they have the same mean value and the same standard deviation.
在均值和方差相同时，上述三种不同分布的误差的反演结果相差很小。
Our results also indicated that the inversion results are not sensitive to the error distributions as long as they have the same mean value and the same standard deviation.
在均值和方差相同时，上述三种不同分布的误差的反演结果相差很小。
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