Statistics of average throughput and the total amount of bytes copied are printed to the standard error output.
平均吞吐量的统计信息和复制的字节印总量被打印到标准错误输出设备。
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。
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.
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。
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.
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。
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 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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