The mean shift algorithm is a nonparametric statistical method for seeking the nearest mode of a point sample distribution.
均值移位算法是一种搜索与样本点分布最相近模式的非参数统计方法。
In particular, we focus discussion on joint confidence sets of the parameter mean and variance when a rounded sample comes from the normal distribution with both parameters unknown.
特别地，本文集中讨论当数据是来自参数未知的正态分布四舍五入后的数据，均值和方差的联合置信集。
Sample space order method is used to give the lower confident limits of mean life under unequal time truncations for exponent distribution.
使用样本空间排序法给出了指数分布情形下不相同定时截尾试验平均寿命置信下限的估计方法。
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