Regression modelEconometrics / time series

Nelinearni ARIMA model

Nelinearni ARIMA model proširuje klasični Box-Jenkins ARIMA okvir dopuštajući da uslovni prosek vremenske serije zavisi od prošlih vrednosti i prošlih grešaka kroz nelinearnu funkciju. Obuhvata porodice kao što su prag-autoregresivni (TAR/SETAR), glatko-prelazni AR (STAR/LSTAR/ESTAR) i Markovljevi modeli preklapanja, koji hvataju asimetrične dinamike, promene režima i asimetrije poslovnog ciklusa koje linearni ARIMA ne može da predstavlja.

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Izvori

  1. Tong, H. (1990). Non-Linear Time Series: A Dynamical System Approach. Oxford University Press. ISBN: 9780198522249
  2. Terasvirta, T. (1994). Specification, estimation, and evaluation of smooth transition autoregressive models. Journal of the American Statistical Association, 89(425), 208-218. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Nonlinear Autoregressive Integrated Moving Average Model. ScholarGate. https://scholargate.app/sr/econometrics/nonlinear-arima-model

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ScholarGateNonlinear ARIMA model (Nonlinear Autoregressive Integrated Moving Average Model). Preuzeto 2026-06-15 sa https://scholargate.app/sr/econometrics/nonlinear-arima-model · Skup podataka: https://doi.org/10.5281/zenodo.20539026