然而在MacOSX上，即使有额外未被使用的变量也不会有任何影响，任何版本的基准测试的结果都是120%。
However on Mac OS x, having the extra unused variable has no effect as both versions of the benchmarks come in at 120%.
基准测试还可能有非恒等分布的可观察到的变量，它们也会影响性能。
Benchmarks may also have non-identically-distributed observable variables that may affect performance.
本文从理论上阐明用不变量导出的相对稳定度函数或其比值作为点在基准中的份量是符合对基准选择之要求的。
This paper expounds in theory that, we may use the relative stability or their ratio caused by UNVARIABLE as the proportion of the point on datum, which accords with the demands for choice of datum.
我有一个选择(一个坏的选择)，在基准测试中，通过不包含代码来对其变量。
I have chosen (a bad choice) to not include code to align variables in the benchmark.
本文分阶段对两变量的因果关系进行实证分析，通过部分调整模型给出了基准利率对同业拆借率的短期效应和长期效应。
In this paper, we analyse this by Grange Causality Test and then we give the short-term effect and long-term effect using Partial Adjust Model.
本文分阶段对两变量的因果关系进行实证分析，通过部分调整模型给出了基准利率对同业拆借率的短期效应和长期效应。
In this paper, we analyse this by Grange Causality Test and then we give the short-term effect and long-term effect using Partial Adjust Model.
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