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SARIMA-model×Vektorautoregression (VAR)×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår1970 (first edition); 1976 (revised)1980
OphavspersonBox, Jenkins, and ReinselChristopher A. Sims
TypeSeasonal time series modelMultivariate time-series model
Oprindelig kildeBox, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1976). Time Series Analysis: Forecasting and Control (revised ed.). Holden-Day. ISBN: 978-0130607744Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
AliasserSARIMA, seasonal ARIMA, Box-Jenkins seasonal model, ARIMA with seasonal componentVAR, VAR model, vector autoregressive model, multivariate autoregression
Relaterede55
ResuméSARIMA extends ARIMA by adding seasonal autoregressive and moving-average operators to capture repeating patterns at fixed intervals — such as monthly, quarterly, or annual cycles. Denoted SARIMA(p,d,q)(P,D,Q)s, it is the standard workhorse for univariate seasonal time series forecasting in econometrics, economics, and official statistics.Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.
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ScholarGateSammenlign metoder: SARIMA model · Vector Autoregression. Hentet 2026-06-15 fra https://scholargate.app/da/compare