A cost estimation that assumes normal data distribution may not best reflect the real cost of a query when different parameters are used.
假定正常数据分布的开销评估可能并不能最好地反映查询使用不同参数时的实际开销。
Based on the embedding theorem of fuzzy sets, we consider a sort of parameter family for the distribution of imprecise data and propose the corresponding point estimation approach.
基于模糊集的嵌入定理，对非精确数据的分布提出一种统计参数族，并给出相应的点估计方法。
The software developed in this paper mainly contains curve fitting of measuring data, Gaussian distribution estimation of curves, calculation of the size of facula, divergence angle and waist facula.
文中开发的实验数据处理软件主要包括测量数据曲线的拟合、判断曲线是否符合高斯分布、光斑大小的计算、发散角和腰斑大小的计算。
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