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。
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