Regression modelEconometrics / time series

Nelinearni model ARIMA

Nelinearni model ARIMA proširuje klasični Box-Jenkins ARIMA okvir dopuštajući da uvjetni prosjek vremenske serije ovisi o prošlim vrijednostima i prošlim pogreškama putem nelinearne funkcije. Obuhvaća obitelji poput pragovnih AR (TAR/SETAR), glatkih prijelaznih AR (STAR/LSTAR/ESTAR) i modela s Markovljevim prebacivanjem, hvatajući asimetrične dinamike, promjene režima i asimetrije poslovnog ciklusa koje linearni ARIMA ne može predstaviti.

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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/hr/econometrics/nonlinear-arima-model

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