The leading particles influence stingily the PPCA disribibudons for hadronic collisions data. The calculated results for the distributions of the azimuthal difference …

领头粒子对强子碰撞的PPCA分布有很大影响．通过计算两粒子方位角差的分布观察到了方位角关联。

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Probabilistic principal component analysis (PPCA) can realize the process monitoring (according) to the whiten values of process variables' prediction error and their scores.

概率主元分析(PPCA)能够根据过程变量的预测误差及其主元的白化值实现对过程的监控。

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Then further applying Sequence-number Summation Theory and Mode Theory, to check up the appraisal precision difference between appraisal results based on PPCA method and exiting methods.

最后进一步运用序号总和理论和众数理论，检验了基于PPCA的评价结果与现有方法评价结果之间的精度差异。

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