The method of dynamic adjusting data to improve the forecast precision in the small sample field is introduced.
文章介绍了在小样本空间中，采用动态调整样本空间数据的手段来提高预测精度；
This method masks the influences of random factors on load forecast in a certain extent to improve the forecast precision.
该方法从一定程度上屏蔽了随机因素对负荷预测造成的不利影响，提高了预测精度。
This paper primarily deals with the possibility to improve the forecast precision for Delphi method by use of Bayes' estimation.
本文主要探讨利用贝叶斯估计法改进特尔斐预测精确度的可能性。
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