Regression modelEconometrics / time series
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
- Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1976). Time Series Analysis: Forecasting and Control (revised ed.). Holden-Day. ISBN: 978-0130607744
- 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
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 自回归积分滑动平均模型 (ARIMA)计量经济学↔ compare
- 自回归移动平均模型 (ARMA)计量经济学↔ compare
- 自回归模型 (AR)计量经济学↔ compare
- 移动平均(MA)模型计量经济学↔ compare
- 向量自回归 (VAR)计量经济学↔ compare