结果显示随机概率抽样方法拟合的相函数与散射相函数间的方均根差更小。

The result showed that the root-mean-square of Phase function fitted by random probability sampling method is smaller.

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要检验虚假设，需要知道在假设存在随机抽样可变性的情况下获得这么一个极限值的概率。

To test your null hypothesis, you want to know the probability of obtaining a value this extreme under the assumption that it is due to random sampling variability.

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该模型的核心部分是根据观测到的资料，通过蒙特卡洛马尔科夫链随机抽样的方法来估计变点位置的后验概率分布。

Given the observed hydrological data, the model can estimate the posterior probability distribution of each location of change-point by using the Monte Carlo Markov Chain (MCMC) sampling method.

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