用指数平滑法预测社会经济安全指标

D. Shvaiba
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引用次数: 0

摘要

指数平滑法广泛应用于不同经济部门、部门等的金融经济特征预测。在构建指数平滑预测模型时,采用加权移动平均支持对社会经济安全特征序列进行平滑,其中权重服从指数律。在这种情况下,与过去相比,该系列的以下水平被赋予显著值,因为它们携带更重要的信息,以确定社会经济安全特征水平上的预测值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting of Socio-Economic Security Indicators by Means of Exponential Smoothing
The method of exponential smoothing is widely used in the forecasting of financial and economic characteristics in different sectors of the economy, departments, etc. In the construction of a forecast model by exponential smoothing time series of characteristics of socio–economic security is smoothed with the support of a weighted moving average, in which the weights obey the exponential law. In this case, the following levels of the series are given significant values in comparison with the past, because they carry more important information to determine the predicted values at the level of socio-economic security characteristics.
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