Regression modelEconometrics / time series

ARIMA model (Autoregresivni integrisani model pokretnih proseka)

ARIMA(p,d,q) model je standardni radni konj za prognoziranje univarijantnih vremenskih serija. Kombinuje autoregresivne termine (prošle vrednosti), diferenciranje radi postizanja stacionarnosti i termine pokretnih proseka (prošli šokovi) u jedinstveni linearni okvir. Razvijen od strane Boxa i Jenkinsa (1970), ostaje jedan od najšire primenjivanih modela u ekonometriji i primenjenoj statistici.

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Izvori

  1. Box, G. E. P., & Jenkins, G. M. (1970). Time Series Analysis: Forecasting and Control. Holden-Day. link
  2. Hamilton, J. D. (1994). Time Series Analysis. Princeton University Press. ISBN: 978-0691042893

Kako citirati ovu stranicu

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

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