Mfumo wa ARIMA (Autoregressive Integrated Moving Average)
Mfumo wa ARIMA(p,d,q) ndio msingi mkuu unaotumika kwa utabiri wa mfululizo wa data wa muda mmoja. Unachanganya vigezo vya kujitegemea (thamani za zamani), utofautishaji ili kuleta utulivu, na vigezo vya wastani wa kusonga (mishtuko ya zamani) katika mfumo mmoja wa mstari. Uliundwa na Box na Jenkins (1970), na unabaki kuwa mojawapo ya mifumo inayotumika sana katika ekonometria na takwimu zilizotumika.
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Vyanzo
- Box, G. E. P., & Jenkins, G. M. (1970). Time Series Analysis: Forecasting and Control. Holden-Day. link ↗
- Hamilton, J. D. (1994). Time Series Analysis. Princeton University Press. ISBN: 978-0691042893
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Autoregressive Integrated Moving Average Model. ScholarGate. https://scholargate.app/sw/econometrics/arima-model
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Modeli ya ARMA (Autoregressive Moving Average)Ekonometriki↔ compare
- Kipimo cha Mizizi ya Muungano cha Augmented Dickey-Fuller (ADF)Ekonometriki↔ compare
- Muundo wa Autoregressive (AR)Ekonometriki↔ compare
- Modeli wa Wastani unaosonga (MA) wa mpangilio qEkonometriki↔ compare
- Mfumo wa SARIMAEkonometriki↔ compare
- Ubora wa Utegemezi wa Viga (VAR)Ekonometriki↔ compare
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