Combined with the prior distribution of the model parameters and water quality observation data, joint posterior probability function which stands for the distribution characters was obtained by Bayes' Theorem.
Combined with the prior distribution of the model parameters and water quality observation data, joint posterior probability function which stands for the distribution characters was obtained by Bayes' Theorem.
结合模型参数的先验分布和水质监测数据，通过贝叶斯定理计算获得了表征参数分布规律的联合后验概率密度函数。