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Model ARIMA (Autoregressive Integrated Moving Average)×Testi i Stacionaritetit KPSS×
FushaEkonometriEkonometri
FamiljaRegression modelRegression model
Viti i origjinës20151992
KrijuesiBox & Jenkins (Box-Jenkins methodology)Kwiatkowski, Phillips, Schmidt & Shin
LlojiUnivariate time-series modelStationarity test (reverse of unit-root tests)
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: 978-1118675021Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54(1–3), 159–178. DOI ↗
Emërtime të tjeraBox-Jenkins model, ARIMA(p,d,q), ARIMA ModeliKwiatkowski-Phillips-Schmidt-Shin test, stationarity test, KPSS durağanlık testi
Të lidhura54
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 KPSS test, introduced by Kwiatkowski, Phillips, Schmidt and Shin in 1992, tests the null hypothesis that a series is stationary against the alternative that it contains a unit root — the reverse of the ADF and Phillips-Perron tests. By flipping the burden of proof, it is designed to be used alongside unit-root tests so that the two can confirm one another and expose ambiguous, borderline cases.
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ScholarGateKrahasoni metodat: ARIMA · KPSS Test. Marrë më 2026-06-19 nga https://scholargate.app/sq/compare