通过对小样本数据的统计学习，能够推广到大规模数据中去进行结果的预测估计。
It could be generalized to test and estimate the big scale data by training the small sample.
该方法与普通卡尔曼预测方法相比较，能够提高预测精度，减缓了预测估计的发散。
Thus, the new prediction estimation algorithm is simplified. Comparing with ordinary Kalman prediction method, the new ones can increase the accuracy of stock tendency prediction.
他们的销售量预测纯属估计。
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