对指数分布总体，给出了异常值检验费歇型统计量的大样本近似分布。

The approximate distribution of Fisher's statistics for exponential sample is given.

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对于这些估计，给出它们的分布或近似分布，用经典方法可得到盲区半径的置信上限。

And for those point estimates, their distributions or approximate distributions are obtained. The confidence upper limits of the blind area radius Rm are obtained by using the classical approach.

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在这种近似中，突出地强调了辐射热传导的作用，即认为介质中的温度分布由于热传导极强而可以近似地看成与空间无关。

In this approximation, it is assumed that the effect of radiative heat transfer would be so strong that the temperature of the medium could be regarded as uniform.

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To actually apply this it helps to go to something called the normal approximation to the binomial, because it's kind of difficult to compute this formula.

在实际应用这些公式的时候,需要运用二项分布的正态近似定理,因为二项分布公式的值很难计算

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