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Regression modelEconometrics / time series

Mfumo wa ARIMA Usio na Mstari

Mfumo wa ARIMA usio na mstari unapanua mfumo wa kawaida wa Box-Jenkins ARIMA kwa kuruhusu wastani wenye masharti wa mfululizo wa wakati kutegemea maadili yaliyopita na makosa yaliyopita kupitia kazi isiyo na mstari. Unajumuisha familia kama vile AR ya Kizingiti (TAR/SETAR), AR ya Mpito laini (STAR/LSTAR/ESTAR), na mifumo ya kubadilisha Markov, ukikamata mienendo ya kutokuwa sawa, mabadiliko ya utawala, na kutokuwa sawa kwa mzunguko wa biashara ambavyo ARIMA ya mstari haiwezi kuwakilisha.

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Vyanzo

  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

Jinsi ya kunukuu ukurasa huu

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

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ScholarGateNonlinear ARIMA model (Nonlinear Autoregressive Integrated Moving Average Model). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/nonlinear-arima-model · Seti ya data: https://doi.org/10.5281/zenodo.20539026