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sum of squares of deviations meaning in Chinese

差方和
离差平方和

Examples

  1. Therefore , each sum of squares of deviations is the times of the consisitent and unbiased estimate of variance . so , if the division is reasonable , the sum of squares of deviations attained through the data to be grouped and the one attained through history data should be very close
    这样,由于每个类内离差平方和为该数据所属分布的方差的相合且无偏的估计的倍数,故如果分类合理,则由待分数据得到的离差平方和应与由历史数据得到的离差平方和相接近。

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