Mfumo wa ARIMA (Autoregressive Integrated Moving Average)
ARIMA ni mfumo wa utabiri wa mfululizo wa muda wa vigezo-umoja unaochanganya vijenzi vya kujitegemea (autoregressive), vilivyounganishwa (differencing), na wastani unaosonga (moving-average) ili kutabiri mfululizo mmoja endelevu kutokana na historia yake yenyewe. Ni kiini cha mbinu ya Box-Jenkins iliyoelezwa katika kitabu cha Box, Jenkins, Reinsel & Ljung, Time Series Analysis (toleo la 5, 2015).
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
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Vyanzo
- Box, G. E. P., Jenkins, G. M., Reinsel, G. C. & Ljung, G. M. (2015). Time Series Analysis: Forecasting and Control (5th ed.). Wiley. ISBN: 978-1118675021
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 1). Autoregressive Integrated Moving Average Model. ScholarGate. https://scholargate.app/sw/econometrics/arima
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.
- Upepeshaji wa kielelezo rahisi na mara mbili (SES / Holt)Ekonometriki↔ compare
- Umuundo wa Kujirudia kwa Kujitegemea wenye Masharti ya Ugomvi (GARCH)Ekonometriki↔ compare
- Urejeshaji wa Njia ya Viwango Vidogo vya Kawaida (OLS)Ekonometriki↔ compare
- SARIMA (Seasonal ARIMA)Ekonometriki↔ compare
- Muundo wa Uhusiano wa Kiotomatiki wa Vecta (VAR)Ekonometriki↔ compare
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