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SARIMA模型 — 季节性自回归积分滑动平均模型

SARIMA通过添加季节性自回归和滑动平均算子来扩展ARIMA模型,以捕捉固定时间间隔内的重复模式——例如月度、季度或年度周期。SARIMA(p,d,q)(P,D,Q)s是计量经济学、经济学和官方统计中单变量季节性时间序列预测的标准主力模型。

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来源

  1. Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1976). Time Series Analysis: Forecasting and Control (revised ed.). Holden-Day. ISBN: 978-0130607744
  2. Hyndman, R. J., & Athanasopoulos, G. (2021). Forecasting: Principles and Practice (3rd ed.). OTexts. link

如何引用本页

ScholarGate. (2026, June 3). Seasonal Autoregressive Integrated Moving Average Model. ScholarGate. https://scholargate.app/zh/econometrics/sarima-model

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被引用于

ScholarGateSARIMA model (Seasonal Autoregressive Integrated Moving Average Model). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/sarima-model · 数据集: https://doi.org/10.5281/zenodo.20539026