In the process of regression diagnostics, using the method of the box plot to observe outliers, this article analyzes outliers and excludes them from the sample data and then goes through the regression test, ultimately gets the more robust regression model.
而在回归诊断过程中,本文采用箱线图的方法观察异常值,对异常值进行分析,通过剔除异常值的样本数据而进行回归检验,最终得到了更为稳健的回归模型。
Several algorithms of process data compression are introduced in detail, such as box car, backward slope, SDT, PLOT and vector quantization. Furthermore, several practical problems of process data compression are pointed out.
例如,矩形波串法、后向斜率法、SDT算法、PLOT算法及矢量量化方法等,并进一步指出了过程数据压缩中的一些实际问题。
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