正态分布的性质及误差分析在高能物理与粒子物理处理实验数据时是非常有用的。

Nature of normal distribution and error analysis are very useful in high-energy physics and particle physical disposal experimental data.

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一维最小误差阈值法假设了目标和背景的灰度分布服从混合正态分布。

One-dimensional minimum error thresholding method assumed that the histogram distributions of object and background are governed by a mixture Gaussian distribution.

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线性回归模型的误差项不服从正态分布或存在多个离群点时，可以将残差秩次的某些函数作为权重引入估计模型来减少离群点的不良影响。

When multiple outliers occur in linear regression model or the distribution of residuals is not normal, we can use residuals rank as weight function to get some resist estimator.

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