The standard statistical approach to risk management is based on a “bell curve” or normal distribution, in which most results are in the middle and extremes are rare.
在统计学中，风险管理的标准方法是基于“钟形曲线”（或曰正态分布）的，绝大多数结果分布在中间，极端情况十分罕见。
The standard pattern distribution of normal population: Most (74.5%, 82/110) of the unrelated healthy individuals displayed such a pattern without any translocation, hybridization and mosaicism.
正常人的标准带型分布：在检测的110名正常人中，74.5％（82／110）为标准带型，无易位、杂合、体细胞嵌合等情况。
The models were estimated via Gibbs sampler with data augmentation by a mixture of standard exponential distribution and standard normal distribution to represent the asymmetric Laplace distribution.
由于模型参数的后验条件分布没有确定的分布形式，通过数据扩充得到参数的完全条件分布从而实现模型参数的贝叶斯估计。
The models were estimated via Gibbs sampler with data augmentation by a mixture of standard exponential distribution and standard normal distribution to represent the asymmetric Laplace distribution.
由于模型参数的后验条件分布没有确定的分布形式，通过数据扩充得到参数的完全条件分布从而实现模型参数的贝叶斯估计。
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