“金字塔”数据外推法的Μ-modification

Yuriy Turbal, A. Bomba, Mariana Turbal
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引用次数: 0

摘要

本文介绍了经典可微函数导数的一些推广。在相应推广的基础上,提出了时间序列外推方法。这种方法的基础是对分离差异的分析。提出了相应的差值修正和求序的程序,从而有可能在一定意义上找到最佳预测值。然后,使用特殊的计算过程,根据分离差的预测值,在插值区间之外的点处的输出函数值。
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Μ-modification of the “pyramidal” method of data extrapolation
In this work certain generalizations of the classical derivative of a differentiable function are introduced. The method of time series extrapolation is proposed on the basis of corresponding generalizations. In the basis of this method is the analysis of separated differences. It is proposed  procedure  of the corresponding differences modification and finding of such order, for which it is possible to find in the certain sense the best forecast value. Then the value of the output function at a point that lies outside the interpolation interval is based on the found predictive value for the separated differences using a special computational procedure.
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