介绍了连续抽样中概率发生变化时保留样本的方法。
The method for retaining sampled units in successive sampling survey for changed probability of selection is introduced.
这种方法非常有用，因为这样可以将所有的内容都集中在一个位置上，并可以保留一个事实的历史样本，从而有助于修正应用程序的问题。
This is very useful, as you can concentrate everything in one single location and have a history of facts that will allow you to fix your application.
该算法舍弃了对最终分类无用的样本，并保留了有用的样本。
In the algorithm, the useless samples are discarded and the useful samples are retained.
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