Since mixture normal distribution is the non-mixed , the estimation and test have many difficulties .
由于混合正态分布模型是非正则的，它的参数估计及其检验都存在很多困难。
Asphalt mixture fatigue life, cumulative dissipated energy and initial modulus data showed a logarithmic normal distribution.
沥青混合料的疲劳寿命和累积耗散能以及初始模量数据呈对数正态分布。
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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