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Model ARIMA (Autoregressive Integrated Moving Average)×Testi i kointegrimit (Johansen / Engle-Granger)×
FushaEkonometriEkonometri
FamiljaRegression modelRegression model
Viti i origjinës20151988
KrijuesiBox & Jenkins (Box-Jenkins methodology)Engle & Granger (1987); Johansen (1988)
LlojiUnivariate time-series modelTime-series cointegration test
Burimi themeluesBox, G. E. P., Jenkins, G. M., Reinsel, G. C. & Ljung, G. M. (2015). Time Series Analysis: Forecasting and Control (5th ed.). Wiley. ISBN: 978-1118675021Johansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. DOI ↗
Emërtime të tjeraBox-Jenkins model, ARIMA(p,d,q), ARIMA ModeliJohansen cointegration test, Engle-Granger cointegration test, long-run equilibrium test, Eşbütünleşme Testi (Johansen/Engle-Granger)
Të lidhura55
PërmbledhjaARIMA is a univariate time-series forecasting model that combines autoregressive, integrated (differencing), and moving-average components to predict a single continuous series from its own past. It is the centrepiece of the Box-Jenkins methodology set out in Box, Jenkins, Reinsel & Ljung's Time Series Analysis (5th ed., 2015).The cointegration test examines whether non-stationary time series that each contain a unit root share a stable long-run equilibrium relationship. The single-equation residual approach was introduced by Engle and Granger (1987) and the system-based rank approach by Johansen (1988).
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ScholarGateKrahasoni metodat: ARIMA · Cointegration Test. Marrë më 2026-06-19 nga https://scholargate.app/sq/compare