然后，优化器可以将输入变量的值与编目统计进行比较，并为谓词计算出一个更好的选择估计。
The optimizer can then compare the input variable values to catalog statistics and compute a better selectivity estimate for predicates.
方法：利用广义估计方程分析结果指标为分类变量的重复测量资料，通过参数和标准误的估计得出统计学结论。
Method: the repeated measures data were analyzed with category variance outcome by GEE and conclusions were drawn according to the estimating of parameter and standard error.
利用随机变量的各阶矩的性质，构造了一种基于高阶统计量的背景估计方法，并将其应用于静态背景下的运动目标检测。
An approach of background estimation is presented using characters of random variable moments and applied in moving object detection under static background.
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