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.
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。
The method for retaining sampled units in successive sampling survey for changed probability of selection is introduced.
介绍了连续抽样中概率发生变化时保留样本的方法。
The result showed that the root-mean-square of Phase function fitted by random probability sampling method is smaller.
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。
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