Holt - Winter乘法法最优平滑常数的确定

M. N. Dhali, Nandita Barman, M. B. Hasan
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引用次数: 1

摘要

有许多贸易时间序列游行具有季节性。本文探讨了利用Holt-Winter指数平滑法对季节时间序列数据选取合适的平滑常数进行玩具生产需求预测的问题。这是一种定量预测技术。这种预测方法使用三个常量,为当前需求和以前的预测分配权重,以确定新的预测。通过一个实际的例子说明了如何选择这些常数的技术,并计算了该技术对最佳平滑常数的相应预测值。达卡大学学报(自然科学版),67(2):99-104,2019 (7)
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Determination of Optimal Smoothing Constants for Holt - Winter’s Multiplicative Method
There are many trade time series parade having seasonality. This paper ponders on taking the appropriate smoothing constants of seasonal time series data using Holt-Winter’s exponential smoothing method in demand forecasting of toy production in a company. It is a quantitative technique in forecasting. This forecasting method is used three constants that assign weights to current demands and previous forecasts to decide on a new forecast. We have demonstrated the techniques how to choose these constants by presenting a real life example and calculated corresponding forecast value of this technique for the optimal smoothing constants. Dhaka Univ. J. Sci. 67(2): 99-104, 2019 (July)
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