指数平滑
计算机科学
稳健性(进化)
简单(哲学)
平滑的
启发式
系列(地层学)
指数函数
运筹学
计量经济学
人工智能
数学
哲学
化学
古生物学
数学分析
计算机视觉
认识论
基因
生物
生物化学
出处
期刊:Wiley Encyclopedia of Operations Research and Management Science
日期:2010-06-10
被引量:9
标识
DOI:10.1002/9780470400531.eorms0385
摘要
Abstract The Holt–Winters exponential smoothing method was first introduced more than half a century ago for the seasonal time series forecast and it is still one of the most popular forecasting systems widely used in production planning, inventory control, and many other application areas. Numerous empirical studies have confirmed the accuracy and robustness of this simple method, compared to many other sophisticated forecasting techniques. Recently, the underlying optimal time series models of this heuristic method have been found and they provide the theoretical foundation for obtaining the statistical properties of this method. This article aims to provide a succinct summary of the basic Holt–Winters method and help readers understand and appreciate this simple, yet powerful, forecasting technique.
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