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本文讨论了起始数据误差和观测值误差的比例因子问题。
This paper deals with the scale-factor between the errors of initial data and observations.
测井数据误差来源归纳起来有四种:方法误差、环境误差、装置误差和人为误差。
There are four kinds of error sources for logging data: method error, environment error, instrument error and error caused by negligence of operators.
根据实例计算及理论推导,分析讨论了在评定精度中顾及起算数据误差的有关问题。
On the basis of calculating examples and proving the theory, this paper analyzes some questions of attending to the original data errors in evaluating precision.
You can see there are errors for both of these things.
你们可以看见,两项数据都有误差
Again, you can't even correct for it because, let's just say, the whole population overestimated calories and things were underestimated by 30% percent, well then you just put in that correction and you know what you got.
你甚至无法纠正这个误差,因为,比方说,整个总体人群都高估了卡路里,或者都低估了30%的卡路里,研究人员纠正误差才能得到正确数据
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