结果当最小临床承认疗效差量取值为零时,本文方法还原为渐近正态法。
Results It reduces to the asymptotic normal procedure when the value is taken as zero for the minimal clinically relevant therapeutic difference.
假设你要依据某个变量的值,设置另一个变量的取值为特定的字符,你可能会这样做。
If you wished to set a variable to a particular character, depending upon the value of something, you might do this.
针对决策表中属性取值为杂合数据的情况,提出了基于粗糙集理论的属性约简算法。
With regard to the attribute values in decision table, which are described with hybrid data, a new algorithm of attribute reduction based on rough set theory is proposed.
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