Usporedite metode
Pregledajte odabrane metode jednu uz drugu; retci koji se razlikuju su istaknuti.
| Augmentirani Dickey-Fullerov (ADF) test jediničnog korijena× | ARIMA model (Autoregressive Integrated Moving Average)× | |
|---|---|---|
| Područje | Ekonometrija | Ekonometrija |
| Obitelj | Regression model | Regression model |
| Godina nastanka≠ | 1979–1984 | 1970 |
| Tvorac≠ | Said & Dickey (1984); building on Dickey & Fuller (1979) | George Box and Gwilym Jenkins |
| Vrsta≠ | Hypothesis test (unit root) | Time series forecasting model |
| Temeljni izvor≠ | Said, S. E., & Dickey, D. A. (1984). Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika, 71(3), 599–607. DOI ↗ | Box, G. E. P., & Jenkins, G. M. (1970). Time Series Analysis: Forecasting and Control. Holden-Day. link ↗ |
| Drugi nazivi | ADF test, ADF unit root test, Dickey-Fuller test (augmented), Said-Dickey test | ARIMA, Box-Jenkins model, integrated ARMA, ARIMA(p,d,q) |
| Srodne≠ | 5 | 6 |
| Sažetak≠ | The Augmented Dickey-Fuller test is the standard procedure for determining whether a univariate time series contains a unit root — that is, whether the series is non-stationary. It extends the original Dickey-Fuller test by including lagged difference terms that absorb serial correlation in the residuals, making the test valid for a wide range of time-series processes encountered in economics and finance. | The ARIMA(p,d,q) model is the standard workhorse for univariate time series forecasting. It combines autoregressive terms (past values), differencing to induce stationarity, and moving average terms (past shocks) into a unified linear framework. Developed by Box and Jenkins (1970), it remains one of the most widely applied models in econometrics and applied statistics. |
| ScholarGateSkup podataka ↗ |
|
|